CN118100690A - Dynamic adjustment special motor control method and system - Google Patents
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Abstract
The invention discloses a control method and a system for a dynamic adjustment special motor, wherein the control method comprises the steps of switching to a starting strategy when starting, and rapidly lifting q-axis current to a starting threshold value; after the stable operation state, switching to an efficiency optimizing strategy, monitoring the operation parameters of the special motor in real time, and adjusting the proportion of d-axis current and q-axis current according to an efficiency optimizing algorithm to reach an optimal efficiency point; when the motor is changed, switching to a dynamic response strategy, and dynamically adjusting a control parameter threshold value of the special motor according to an expected performance optimization target by combining external condition parameters; integrating real-time operation parameters of the special motor in the control strategy adjustment process, analyzing the efficiency and response time of the control strategy, and optimizing and adjusting the control strategy according to the analysis result; by mode switching of the control strategy, the special motor can be started quickly and is continuously optimized, and a motor management scheme with high efficiency, dynamic response and continuous optimization is provided.
Description
Technical Field
The invention relates to the technical field of motors, in particular to a method and a system for controlling a special motor with dynamic adjustment.
Background
In modern industrial and high-end application scenarios, special motors, such as synchronous reluctance motors (SynRM) and Permanent Magnet Synchronous Motors (PMSM), are widely used due to their high efficiency and precisely controlled nature. With the rapid development of electric automobiles, precision machinery manufacturing and renewable energy devices, the performance requirements for special motors are continuously improved, especially in the aspects of operation efficiency, response speed and system stability. Industry has an increasing demand for intelligent control systems capable of adapting to various conditions and continuously optimizing operation strategies; therefore, innovation of motor control technology is one of key factors for promoting industry development.
The special motor control method in the prior art is often focused on the setting of fixed parameters, the parameters can only provide limited adaptability when the motor is started, operated and changes in external conditions are dealt with, the static control strategy is difficult to maintain the highest efficiency of the motor operation when facing the rapidly changing working environment and load demands, and meanwhile, the capability of monitoring and immediately adjusting the motor state in real time is also lacking, so that the problems of energy waste, response delay and stability reduction are caused; in addition, the traditional method fails to fully consider the performance optimization of the motor in the whole life cycle, and neglects the potential of realizing the long-term operation efficiency improvement through continuous data analysis and parameter adjustment.
In view of this, an improvement is needed to be made on the special motor management scheme in the prior art to solve the technical problems that the running process is not effectively managed and the dynamic adjustment capability is poor.
Disclosure of Invention
The invention aims to provide a method and a system for controlling a special motor with dynamic adjustment, which solve the technical problems.
To achieve the purpose, the invention adopts the following technical scheme:
a control method of a dynamic adjustment special motor comprises the following steps:
when the special motor is started, the control strategy is switched to a preset starting strategy, and the q-axis current is rapidly increased to a starting threshold value, so that the special motor provides starting torque;
After the special motor enters a stable running state, the control strategy is switched to an optimized efficiency strategy, running parameters of the special motor are monitored in real time, and the proportion of d-axis current and q-axis current is adjusted according to an efficiency optimization algorithm so as to reach an optimal efficiency point;
When the load changes or the external conditions change, the control strategy is switched to a dynamic response strategy, and the control parameter threshold value of the special motor is dynamically adjusted according to the expected performance optimization target by combining the external condition parameters, and the adjusted control parameter threshold value is filtered and optimized through self-adaptive filtering;
And integrating real-time operation parameters of the special motor in the adjustment process of the control strategy, analyzing the efficiency and response time of the control strategy, and optimally adjusting the control strategy according to an analysis result.
Optionally, when the special motor is started, the control strategy is switched to a preset starting strategy, and q-axis current is rapidly increased to a starting threshold value, so that the special motor provides starting torque; the method specifically comprises the following steps:
the special motor receives a starting signal, enters a starting preparation state and controls the system to execute a self-checking program of motor parameters; the motor parameters comprise resistance and induced voltage of each phase winding;
The special motor enters a starting state, and the control strategy is switched to a preset starting strategy so as to adjust the starting parameters of the special motor; the starting parameters comprise an initial current value, a current slope and a starting acceleration;
The control system sends a control instruction to the inverter, and the inverter outputs an initial q-axis current to reach a preset starting threshold value.
Optionally, when the special motor is started, the control strategy is switched to a preset starting strategy, and q-axis current is rapidly increased to a starting threshold value, so that the special motor provides starting torque; further comprises:
the control system monitors the real-time rotating speed of the special motor and synchronously and dynamically adjusts the actual value of the q-axis current; when the real-time rotating speed of the special motor is increased, correspondingly reducing the q-axis current;
When the rotating speed of the special motor reaches a preset rotating speed threshold value and tends to be stable, the special motor provides starting torque, and the starting strategy is completed.
Optionally, the ratio of the d-axis current and the q-axis current is adjusted according to an efficiency optimization algorithm so as to reach an optimal efficiency point; the method specifically comprises the following steps:
Based on the current operation parameters, combining the specific performance parameters of the special motor, determining the minimum energy consumption configuration required by the special motor to reach the preset operation parameters;
Calculating the optimal proportion of d-axis current and q-axis current matched with the minimum energy consumption configuration through a preset efficiency optimization algorithm according to the minimum energy consumption configuration;
And transmitting the calculated minimum energy consumption configuration to a control system, wherein the control system adjusts the output of the inverter to ensure that the ratio of the d-axis current to the q-axis current accords with the optimal ratio so as to reach an optimal efficiency point.
Optionally, the control parameter threshold value of the special motor is dynamically adjusted according to the expected performance optimization target by combining the external condition parameters; the method specifically comprises the following steps:
When the control system monitors a signal of load change or external condition change, acquiring a change value of an operation parameter of the special motor and an external condition parameter;
According to the change value of the operation parameter and the external condition parameter, evaluating the influence on the operation state of the special motor, and evaluating to obtain the current motor performance;
Comparing the current motor performance with an expected performance optimization target, and determining a control parameter threshold adjustment range to be adjusted; the control parameter threshold adjustment range comprises a current limit, a power output limit and control thresholds of rotating speed and torque;
Based on the external condition parameters and the current operation parameters of the special motor, a control system adopts a preset optimization algorithm model to calculate a new control parameter threshold value in the control parameter threshold value adjustment range.
Optionally, the filtering optimization is performed on the adjusted control parameter threshold value through adaptive filtering; the method specifically comprises the following steps:
The control system inputs the new control parameter threshold value into an adaptive filter, and the adaptive filter performs filtering optimization on the new control parameter threshold value so as to eliminate a large fluctuation signal in the new control parameter threshold value;
In the filtering process, the control system monitors the change of a control parameter threshold value output by the filter, compares the control parameter threshold value with an unfiltered control parameter threshold value to evaluate the filtering effect, and adjusts the internal parameter of the self-adaptive filter according to the evaluation result; the internal parameters comprise cut-off frequency and gain of the filter;
When the evaluated filtering effect reaches the preset filtering requirement, returning the control parameter threshold after the filtering optimization to the control system, and controlling the operation parameters of the special motor through the control parameter threshold to enable the special motor to meet the expected performance optimization target.
Optionally, the real-time operation parameters of the special motor in the adjustment process of the control strategy are integrated, the efficiency and the response time of the control strategy are analyzed, and the control strategy is optimized and adjusted according to the analysis result; the method specifically comprises the following steps:
collecting and integrating real-time operation parameters of the special motor in each stage in the control strategy adjustment process, and summarizing to form table data of strategy-operation parameters;
Inputting the table data of the strategy-operation parameters into a preset analysis model, and analyzing the operation efficiency of the special motor and the response time of the control strategy through the analysis model to obtain a first analysis result;
and identifying an optimization space for improving the control parameters of the control strategy based on the first analysis result, and obtaining an optimized control strategy.
Optionally, the obtaining an optimized control strategy further includes:
And establishing a feedback mechanism, wherein the special motor runs an optimized control strategy, evaluating the optimizing effect of the control strategy according to the real-time running state fed back by the special motor, and performing secondary adjustment on the optimized control strategy based on the evaluating result of the optimizing effect.
The invention also provides a special motor control system for dynamic adjustment, which is used for realizing the special motor control method for dynamic adjustment, and comprises the following steps:
The starting module is used for controlling the special motor to rapidly lift the q-axis current to a starting threshold value;
the efficiency optimization module stores an optimization efficiency strategy, and is used for adjusting the proportion of the d-axis current and the q-axis current according to an efficiency optimization algorithm so as to achieve an optimal efficiency point;
The dynamic response adjustment module is used for dynamically adjusting the control parameter threshold value of the special motor according to an expected performance optimization target and carrying out filtering optimization on the adjusted control parameter threshold value through self-adaptive filtering;
the feedback optimization module is used for analyzing the efficiency and response time of the control strategy and optimizing and adjusting the control strategy according to the analysis result;
the control system is used for controlling the starting module, the efficiency optimization module and the dynamic response adjustment module to operate;
integrating real-time operation parameters of the special motor in the control strategy adjustment process;
And the sensor assembly is used for monitoring the real-time operation parameters of the special motor.
Optionally, the starting module includes:
The starting signal receiver is used for receiving a starting instruction;
The self-checking mechanism unit is used for automatically checking motor parameters before the motor is started;
the starting strategy controller is used for adjusting starting parameters of the special motor according to a preset starting strategy;
An inverter control unit for providing an initial q-axis current to generate a starting torque;
The efficiency optimization module comprises:
The steady-state detector is used for identifying that the special motor enters a steady-state running state;
And the efficiency optimization algorithm unit is used for calculating the optimal proportion of the d-axis current and the q-axis current according to the minimum energy consumption configuration.
Compared with the prior art, the invention has the following beneficial effects: in the whole operation period of the special motor, the q-axis current is rapidly increased to a starting threshold value through a starting strategy, so that the motor is ensured to generate necessary starting torque; the motor enters a stable running state, and the running efficiency of the motor is optimized by monitoring the rotating speed and the load in real time and adjusting the proportion of d-axis current and q-axis current; when the motor faces load or external environment change, a dynamic response strategy is started, control parameters are dynamically adjusted, and the parameters are optimized through self-adaptive filtering; the control strategy is continuously optimized and adjusted by integrating and analyzing the real-time operation data of the motor so as to improve the overall performance and response efficiency; by mode switching of a control strategy, the special motor can be started quickly, efficiency optimization in an operation state ensures energy efficiency maximization at different operation points, energy consumption is reduced, and a dynamic response strategy enables the motor to adapt to sudden external conditions and load changes, so that stability and reliability of a system are ensured; and the optimization process is continued, so that the control strategy is always adjusted based on the latest operation data, and therefore, the continuous improvement and optimization of the performance are realized in long-term operation, and a motor management scheme with high efficiency, dynamic response and continuous optimization is provided.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
The structures, proportions, sizes, etc. shown in the drawings are shown only in connection with the present disclosure, and are not intended to limit the scope of the invention, since any modification, variation in proportions, or adjustment of the size, etc. of the structures, proportions, etc. should be considered as falling within the spirit and scope of the invention, without affecting the effect or achievement of the objective.
Fig. 1 is a schematic flow chart of a special motor control method according to the first embodiment;
FIG. 2 is a second flow chart of the control method of the special motor according to the first embodiment;
fig. 3 is a system layout diagram of a special motor control system according to the second embodiment.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the directions or positional relationships indicated by the terms "upper", "lower", "top", "bottom", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. It is noted that when one component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present.
The technical scheme of the invention is further described below by the specific embodiments with reference to the accompanying drawings.
Embodiment one:
Referring to fig. 1 to 2, an embodiment of the present invention provides a method for controlling a dynamically adjusted special motor, including:
s1, when a special motor is started, a control strategy is switched to a preset starting strategy, and q-axis current is rapidly increased to a starting threshold value, so that the special motor provides starting torque;
When the motor is started, it is important to generate enough torque as soon as possible to overcome the static friction, to rotate the motor, and q-axis current is a variable directly related to the generated torque. Therefore, by rapidly raising the q-axis current to a preset starting threshold, it is possible to ensure that the motor obtains the necessary starting torque, and the control strategy at this stage focuses on rapidly reaching a sufficient current level; the advantage of this strategy is a reduction in start-up time and an optimization of initial torque, which is very advantageous for application scenarios requiring a fast reaction.
S2, after the special motor enters a stable running state, the control strategy is switched to an optimized efficiency strategy, running parameters of the special motor are monitored in real time, and the proportion of d-axis current and q-axis current is adjusted according to an efficiency optimization algorithm so as to reach an optimal efficiency point;
when the special motor is smoothly started and enters steady-state operation, the control strategy is changed into focus on the operation efficiency at the stage, and the d-axis current and q-axis current proportion is optimized by monitoring the motor operation parameters in real time; the d-axis current (also referred to as field current) is related to the establishment of the motor field, and the efficiency optimization algorithm helps to find the ideal current combination that achieves the optimal efficiency point. The key here is to maintain the motor running at the optimal operating point, simulating a minimum energy consumption while meeting the output performance requirements.
S3, when the load changes or the external conditions change, the control strategy is switched to a dynamic response strategy, and the control parameter threshold value of the special motor is dynamically adjusted according to the expected performance optimization target by combining the external condition parameters, and the adjusted control parameter threshold value is filtered and optimized through self-adaptive filtering;
The motor encounters changes in load or environmental conditions during operation, which requires a fast response capability of the control system to accommodate these changes, and in this step the control strategy is switched to a dynamic response mode, dynamically adjusting the control parameters to accommodate the new operating conditions. The adjustment process involves modifying the current threshold or control parameters to accommodate varying loads or external environmental changes, while introducing adaptive filtering techniques to optimize these adjustments, ensuring smooth transitions and stability.
And S4, integrating real-time operation parameters of the special motor in the control strategy adjustment process, analyzing the efficiency and response time of the control strategy, and optimizing and adjusting the control strategy according to the analysis result.
In this step, the integrated motor real-time operation data is collected and used to analyze the efficiency and response time performance of the current control strategy; this analysis helps identify the shortcomings of the control strategy, enabling finer control strategy optimization through tuning, aiming at providing more efficient operation and faster response, thereby guaranteeing motor performance in all directions.
It should be noted that, the control strategy in the scheme is to realize the control adjustment of the special motor through a control system (computer), including the data analysis, calculation and parameter optimization adjustment in the control process, which are all completed in the control system, so the scheme is a control scheme for effectively interacting the control system and the special motor.
The working principle of the invention is as follows: in the whole operation period of the special motor, the q-axis current is rapidly increased to a starting threshold value through a starting strategy, so that the motor is ensured to generate necessary starting torque; the motor enters a stable running state, and the running efficiency of the motor is optimized by monitoring the rotating speed and the load in real time and adjusting the proportion of d-axis current and q-axis current; when the motor faces load or external environment change, a dynamic response strategy is started, control parameters are dynamically adjusted, and the parameters are optimized through self-adaptive filtering; the control strategy is continuously optimized and adjusted by integrating and analyzing the real-time operation data of the motor so as to improve the overall performance and response efficiency; by mode switching of a control strategy, the special motor can be started quickly, efficiency optimization in an operation state ensures energy efficiency maximization at different operation points, energy consumption is reduced, and a dynamic response strategy enables the motor to adapt to sudden external conditions and load changes, so that stability and reliability of a system are ensured; and the optimization process is continued, so that the control strategy is always adjusted based on the latest operation data, and therefore, the continuous improvement and optimization of the performance are realized in long-term operation, and a motor management scheme with high efficiency, dynamic response and continuous optimization is provided.
In this embodiment, it is specifically described that step S1 specifically includes:
s11, the special motor receives a starting signal, enters a starting preparation state, and the control system executes a self-checking program of motor parameters; the motor parameters comprise the resistance and the induced voltage of each phase winding;
After the special motor receives the starting signal, the special motor firstly enters a starting preparation state, and the aim of the state is to confirm whether the basic parameters of the motor are normal or not so as to ensure the safety and reliability of the next starting process; the control system checks and verifies key parameters such as resistance, induced voltage and the like of each phase winding by executing a self-checking program of the motor parameters, and the efficiency and safety of starting and subsequent operation of the motor are prevented from being influenced by abnormality of the key parameters.
S12, the special motor enters a starting state, and a control strategy is switched to a preset starting strategy so as to adjust starting parameters of the special motor; the starting parameters comprise an initial current value, a current slope and a starting acceleration;
after the motor parameter self-checking passes, the special motor is formally in a starting state, at the moment, the control strategy is switched to a preset starting mode, and the most critical parameters aiming at the motor starting link are focused on adjustment, including an initial current value, a current slope and starting acceleration; the correct setting of the starting parameters can ensure that the motor obtains proper current increase and acceleration in the starting process, thereby quickly reaching the required starting torque and avoiding potential damage to the motor and a power supply system caused by overlarge starting current.
S13, the control system sends a control instruction to the inverter, and the inverter outputs initial q-axis current so as to reach a preset starting threshold value;
after the starting parameters are set, the control system sends a control instruction to the inverter, initial current is injected on the q-axis, and the inverter can convert a direct current power supply into a controllable alternating current power supply, so that accurate adjustment of the current and the phase of the motor is realized; the purpose of outputting an initial q-axis current to reach a preset starting threshold is to activate the starting process of the motor, providing the necessary torque for motor start.
In this embodiment, it is further explained that step S13 further includes:
S14, the control system monitors the real-time rotating speed of the special motor and synchronously and dynamically adjusts the actual value of the q-axis current; when the real-time rotating speed of the special motor is increased, correspondingly reducing the q-axis current;
Along with the increase of the motor rotation speed, the q-axis current needs to be synchronously and dynamically adjusted to adapt to the change of the rotation speed, and the running stability of the motor is maintained; if the real-time rotational speed of the motor increases, the system gradually reduces the q-axis current according to a predetermined control algorithm to avoid over-current and over-speed phenomena. Implementation of this step illustrates the adaptive capabilities of the control system, i.e. adjusting the control parameters to optimize motor performance based on real-time data.
And S15, when the rotating speed of the special motor reaches a preset rotating speed threshold value and tends to be stable, the special motor provides starting torque, and a starting strategy is completed.
When the motor rotation speed reaches a preset rotation speed threshold value and tends to be stable, the motor is indicated to be successfully started, and stable starting torque can be provided. At this point, the control strategy has completed its task at the start-up phase and the motor can enter a normal operating state. The completion of this step marks the end of the start-up phase and prepares for the transition to the normal operating state of the motor, which will also be the phase where efficiency and performance are important concerns.
In this embodiment, it is specifically described that step S2 specifically includes:
S21, after the special motor enters a stable running state, the control strategy is switched to an efficiency optimizing strategy;
the main purpose of the efficiency optimization strategy is to reduce energy consumption and improve energy efficiency on the basis of ensuring stable operation of the motor, wherein the stable operation state, namely the speed and the load of the motor, already reach preset working conditions.
S22, determining the minimum energy consumption configuration required by the special motor to reach the preset operation parameters based on the current operation parameters and combining the specific performance parameters of the special motor;
On the premise of stable operation, the system calculates the minimum energy consumption configuration required by reaching preset operation parameters under different conditions according to the current operation parameters of the motor and combining with specific performance parameters, such as rated power, efficiency characteristic curves and the like. This is essentially an optimization problem, requiring the search for the operating state that consumes the least amount of energy while meeting performance requirements.
S23, calculating the optimal proportion of d-axis current and q-axis current matched with the minimum energy consumption configuration through a preset efficiency optimization algorithm according to the minimum energy consumption configuration;
After the minimum energy consumption configuration is identified, the system calculates the proportion of ideal d-axis current and q-axis current required by the configuration through a preset efficiency optimization algorithm, the d-axis current controls the strength of a magnetic field, the q-axis current controls the magnitude of torque, and the proportion adjustment of the d-axis current and the q-axis current is critical to high-efficiency operation; the efficiency optimization algorithm involves a preset mathematical model, such as load characteristics, magnetic saturation, temperature effects, etc., to ensure that the optimal solution is obtained.
It should be noted that, the specific process of calculating the optimal ratio by the preset efficiency optimization algorithm is as follows:
1. According to the performances of the motor at different working points, and combining the efficiency characteristic curves of the motor; obtaining a relation between motor efficiency and load and a relation between current and torque output through an efficiency characteristic curve so as to determine energy efficiency maximization configuration of motor operation under specific load and rotating speed conditions;
2. By using a dynamic model of the motor and combining specific performance parameters, the motor is optimized in multiple dimensions;
3. Establishing an optimized objective function, wherein the optimized objective function aims at the total energy consumed by the special motor, and calculates expected operation parameters (such as rotating speed, torque and power);
4. and (3) by scanning different working points in the working range of the special motor, finding out the point of minimizing energy consumption under the condition of meeting the expected operation parameters corresponding to all the working points, namely the minimum energy consumption configuration.
It should be noted that, the efficiency optimization algorithm in the method preferably adopts a gradient descent method, and the core objective is to find out that the energy consumption is minimized on the premise of meeting the operation performance requirement of the special motor; the algorithm is suitable for calculating the optimal ratio between the d-axis current and the q-axis current of the motor under different conditions of load, rotating speed, temperature and the like. An efficiency optimization algorithm may be used to determine how to adjust the control parameters of the motor, including the magnitude and phase of the current, under a given load demand to minimize total energy consumption while ensuring that the motor operates stably and meets certain performance criteria.
S24, transmitting the calculated minimum energy consumption configuration to a control system, and adjusting the output of the inverter by the control system to enable the proportion of the d-axis current and the q-axis current to be in accordance with the optimal proportion so as to achieve the optimal efficiency point. This process involves either reducing the d-axis current to reduce core loss or optimizing the q-axis current to improve torque efficiency, depending on the current operating conditions and performance objectives of the motor. The control system continuously monitors the operation parameters of the special motor, recalculates the minimum energy consumption configuration and the optimal proportion in combination with the change condition of the operation parameters, and adjusts the inverter output according to the obtained minimum energy consumption configuration and the optimal proportion so as to maintain the optimal efficiency point.
In this embodiment, it is specifically described that step S3 specifically includes:
s31, when the load changes or the external condition changes, the control strategy is switched to a dynamic response strategy;
The core of the dynamic response strategy is to reduce the system response time to sudden changes and prevent performance degradation due to load changes. Such strategies typically require pre-set trigger criteria in the control software in order to be able to activate the relevant measures immediately when a sudden change in load or external conditions occurs.
S32, when the control system monitors a signal of load change or external condition change, acquiring a change value of an operation parameter of the special motor and an external condition parameter;
And acquiring real-time variation values of operation parameters (such as current, rotating speed and temperature) of the special motor, and combining external condition parameters (such as ambient temperature, power grid voltage and pressure). This information is the basis for developing dynamic response measures that can help the control system understand the instantaneous behavior of motor performance under varying conditions.
S33, evaluating influence on the running state of the special motor according to the change value of the running parameter and the external condition parameter, and evaluating to obtain the current motor performance;
After acquiring necessary operation parameters and external condition data, the control system needs to evaluate the influence degree of the changes on the operation state of the special motor, and evaluate the current motor performance according to the influence degree; this assessment involves analyzing the specific impact of parameter changes on motor efficiency, stability, output torque, and power, etc., and determining the real-time performance status of the motor, which is critical to the decision making process, requiring accurate determination of the severity of the change and potential impact on performance.
S34, comparing the current motor performance with an expected performance optimization target, and determining a control parameter threshold adjustment range to be adjusted; the control parameter threshold adjustment range includes current limits, power output limits, and control thresholds for rotational speed and torque;
To ensure that the motor performance meets expectations, it is necessary to compare the current performance of the motor with predefined performance optimization objectives, which involve comparing the difference between the actual operating state of the motor and the desired target state to be achieved, and deciding on the basis of this what control parameters need to be adjusted. These control parameters include control thresholds for current, power output, rotational speed, torque, etc. The adjustment range of these parameters is determined to avoid exceeding the operational limits of the motor while maintaining the motor performance.
S35, based on the external condition parameters and the current operation parameters of the special motor, the control system adopts a preset optimization algorithm model to calculate a new control parameter threshold value within the adjustment range of the control parameter threshold value.
After defining the control parameters and the range thereof which must be adjusted, the control system calculates the control parameter threshold value which is suitable for new external conditions and the running state of the motor by using a preset optimization algorithm model; the optimization algorithm model requires sufficient sensitivity to quickly adapt to environmental changes without reducing performance and to take various adjustments to ensure stability and efficiency of motor operation while preventing any safety or operational limits from being exceeded.
In this embodiment, it is further explained that step S35 further includes:
S36, the control system inputs the new control parameter threshold value into an adaptive filter, and the adaptive filter performs filtering optimization on the new control parameter threshold value so as to eliminate a large fluctuation signal in the new control parameter threshold value;
After calculating the new control parameter threshold, simply directly applying these parameters may cause unnecessary oscillations or overreactions of the motor control system, especially if the parameter changes have large fluctuations; s36, inputting the newly calculated control parameter threshold value into an adaptive filter, and implementing an additional processing process, wherein the adaptive filter is used for smoothing the control parameter and eliminating the fluctuation signal of rapid change (namely high-frequency component), thereby preventing the system performance from generating instability due to severe change, ensuring the smoothness of the control command and laying a foundation for the stable operation of the motor.
S37, in the filtering process, the control system monitors the change of the control parameter threshold value output by the filter, compares the control parameter threshold value with the unfiltered control parameter threshold value to evaluate the filtering effect, and adjusts the internal parameters of the adaptive filter according to the evaluation result; the internal parameters include cut-off frequency and gain of the filter;
After the filter-optimized control parameter threshold passes through the filter, the control system needs to monitor the output of the filter in real time and compare with the input (i.e., unfiltered control parameter threshold); in this way, the filtering effect can be evaluated, and the filtering effect can be balanced between eliminating interference and keeping the change of the necessary signal, and the step also comprises adjusting the internal parameters (such as cut-off frequency and gain) of the adaptive filter to optimize the performance of the adaptive filter; the process is dynamic, and the filter needs to adjust its parameters according to the actual condition of the signal, so as to enhance the adaptability of the control system.
And S38, returning the control parameter threshold after the filtration optimization to the control system when the evaluated filtration effect reaches the preset filtration requirement, and controlling the operation parameters of the special motor through the control parameter threshold to enable the special motor to meet the expected performance optimization target.
After the internal parameters of the adaptive filter are adjusted and filtered, the control system determines whether the filtering effect meets the requirement according to the evaluation result. When the filtering effect reaches a preset standard, the control parameter threshold value after the filtering optimization is sent back to the control system, and the special motor is controlled in real time, at the moment, the control system can adjust necessary operation parameters such as current, rotating speed, power and the like, so that the operation performance of the motor is ensured to meet the expected performance optimization target; this step is a key element in ensuring that the motor can respond to control commands in a stable and efficient manner under varying loads or external conditions while meeting performance criteria.
In this embodiment, it is specifically described that step S4 specifically includes:
s41, collecting and integrating real-time operation parameters of the special motor in each stage in the control strategy adjustment process, and summarizing to form table data of strategy-operation parameters;
The control system needs to collect real-time operation parameters of the special motor in each stage (such as starting, stable operation and load change response), the collected real-time operation parameters are integrated and form table data, thus being beneficial to systematically tracking and recording the performances of the motor under different control strategies, and the effect of the behavior mode and the control strategy of the special motor can be better analyzed by forming structured data records.
S42, inputting the table data of the strategy-operation parameters into a preset analysis model, and analyzing the operation efficiency of the special motor and the response time of the control strategy through the analysis model to obtain a first analysis result;
After the collected strategy-operation parameter data are input into a preset analysis model, the model analyzes the data according to calculation logic to obtain the operation efficiency of the motor and the response time of each control strategy; the efficiency analysis includes key indexes such as power consumption, energy consumption and efficiency, and the response time analysis focuses on the speed of the motor to react to the control command. This step is key to understanding control strategy performance, and further optimization provides a quantified evaluation benchmark.
S43, identifying an optimization space for improving the control parameters of the control strategy based on the first analysis result, and obtaining the optimized control strategy.
In this section, the analysis results will be used to find potential areas of improvement, including adjusting current settings, changing response curves, optimizing power management, etc. The conclusion of this step is an optimized control strategy that proposes specific improvements in order to improve the overall performance and efficiency of the motor.
S44, a feedback mechanism is established, a control strategy for optimizing the operation of the special motor is evaluated according to the real-time operation state fed back by the special motor, and the optimized control strategy is secondarily adjusted based on the evaluation result of the optimization effect.
After the feedback mechanism is established, the optimization of the control strategy is a continuous process, and the feedback mechanism ensures that the optimization control strategy is adjusted according to the feedback information of the real-time running state of the special motor. The actual performance of the optimized control strategy needs to be evaluated in actual operation, the effectiveness of the improvement measures is determined by comparing the performance differences before and after the optimization, if the optimization effect is not expected, the control strategy is further subjected to secondary adjustment, and the process is repeatedly performed to ensure that the control strategy is continuously and finely adjusted, so that continuous improvement is realized.
Embodiment two:
the invention also provides a special motor control system with dynamic adjustment, which is used for realizing the special motor control method with dynamic adjustment as in the first embodiment, and the motor control system comprises:
The starting module is used for controlling the special motor to rapidly lift the q-axis current to a starting threshold value;
the efficiency optimization module stores an optimization efficiency strategy, and is used for adjusting the proportion of the d-axis current and the q-axis current according to an efficiency optimization algorithm so as to achieve an optimal efficiency point;
The dynamic response adjustment module is used for dynamically adjusting the control parameter threshold value of the special motor according to an expected performance optimization target and carrying out filtering optimization on the adjusted control parameter threshold value through self-adaptive filtering;
the feedback optimization module is used for analyzing the efficiency and response time of the control strategy and optimizing and adjusting the control strategy according to the analysis result;
the control system is used for controlling the starting module, the efficiency optimization module and the dynamic response adjustment module to operate;
The data acquisition unit integrates real-time operation parameters of the special motor in the control strategy adjustment process;
And the sensor assembly is used for monitoring the real-time operation parameters of the special motor.
In this embodiment, it is further explained that,
The starting module comprises: the starting signal receiver is used for receiving a starting instruction; the self-checking mechanism unit is used for automatically checking motor parameters before the motor is started; the starting strategy controller is used for adjusting starting parameters of the special motor according to a preset starting strategy; an inverter control unit for providing an initial q-axis current to generate a starting torque.
The efficiency optimization module comprises: the steady-state detector is used for identifying that the special motor enters a steady-state running state; and the efficiency optimization algorithm unit is used for calculating the optimal proportion of the d-axis current and the q-axis current according to the minimum energy consumption configuration.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for controlling a dynamically adjusted special motor, comprising:
when the special motor is started, the control strategy is switched to a preset starting strategy, and the q-axis current is rapidly increased to a starting threshold value, so that the special motor provides starting torque;
After the special motor enters a stable running state, the control strategy is switched to an optimized efficiency strategy, running parameters of the special motor are monitored in real time, and the proportion of d-axis current and q-axis current is adjusted according to an efficiency optimization algorithm so as to reach an optimal efficiency point;
When the load changes or the external conditions change, the control strategy is switched to a dynamic response strategy, and the control parameter threshold value of the special motor is dynamically adjusted according to the expected performance optimization target by combining the external condition parameters, and the adjusted control parameter threshold value is filtered and optimized through self-adaptive filtering;
And integrating real-time operation parameters of the special motor in the adjustment process of the control strategy, analyzing the efficiency and response time of the control strategy, and optimally adjusting the control strategy according to an analysis result.
2. The method for controlling a dynamically adjusted special motor according to claim 1, wherein when the special motor is started, the control strategy is switched to a preset starting strategy, and q-axis current is rapidly increased to a starting threshold value, so that the special motor provides starting torque; the method specifically comprises the following steps:
the special motor receives a starting signal, enters a starting preparation state and controls the system to execute a self-checking program of motor parameters; the motor parameters comprise resistance and induced voltage of each phase winding;
The special motor enters a starting state, and the control strategy is switched to a preset starting strategy so as to adjust the starting parameters of the special motor; the starting parameters comprise an initial current value, a current slope and a starting acceleration;
The control system sends a control instruction to the inverter, and the inverter outputs an initial q-axis current to reach a preset starting threshold value.
3. The method for controlling a dynamically adjusted special motor according to claim 2, wherein when the special motor is started, the control strategy is switched to a preset starting strategy, and q-axis current is rapidly increased to a starting threshold value, so that the special motor provides starting torque; further comprises:
the control system monitors the real-time rotating speed of the special motor and synchronously and dynamically adjusts the actual value of the q-axis current; when the real-time rotating speed of the special motor is increased, correspondingly reducing the q-axis current;
When the rotating speed of the special motor reaches a preset rotating speed threshold value and tends to be stable, the special motor provides starting torque, and the starting strategy is completed.
4. The method for controlling a dynamically adjusted special motor according to claim 1, wherein the ratio of d-axis current to q-axis current is adjusted according to an efficiency optimization algorithm to achieve an optimal efficiency point; the method specifically comprises the following steps:
Based on the current operation parameters, combining the specific performance parameters of the special motor, determining the minimum energy consumption configuration required by the special motor to reach the preset operation parameters;
Calculating the optimal proportion of d-axis current and q-axis current matched with the minimum energy consumption configuration through a preset efficiency optimization algorithm according to the minimum energy consumption configuration;
And transmitting the calculated minimum energy consumption configuration to a control system, wherein the control system adjusts the output of the inverter to ensure that the ratio of the d-axis current to the q-axis current accords with the optimal ratio so as to reach an optimal efficiency point.
5. The method for controlling a dynamically adjusted special motor according to claim 1, wherein the control parameter threshold value of the special motor is dynamically adjusted according to an expected performance optimization target in combination with external condition parameters; the method specifically comprises the following steps:
When the control system monitors a signal of load change or external condition change, acquiring a change value of an operation parameter of the special motor and an external condition parameter;
According to the change value of the operation parameter and the external condition parameter, evaluating the influence on the operation state of the special motor, and evaluating to obtain the current motor performance;
Comparing the current motor performance with an expected performance optimization target, and determining a control parameter threshold adjustment range to be adjusted; the control parameter threshold adjustment range comprises a current limit, a power output limit and control thresholds of rotating speed and torque;
Based on the external condition parameters and the current operation parameters of the special motor, a control system adopts a preset optimization algorithm model to calculate a new control parameter threshold value in the control parameter threshold value adjustment range.
6. The dynamically adjusted special motor control method of claim 5, wherein the adjusting the control parameter threshold is optimized by adaptive filtering; the method specifically comprises the following steps:
The control system inputs the new control parameter threshold value into an adaptive filter, and the adaptive filter performs filtering optimization on the new control parameter threshold value so as to eliminate a large fluctuation signal in the new control parameter threshold value;
In the filtering process, the control system monitors the change of a control parameter threshold value output by the filter, compares the control parameter threshold value with an unfiltered control parameter threshold value to evaluate the filtering effect, and adjusts the internal parameter of the self-adaptive filter according to the evaluation result; the internal parameters comprise cut-off frequency and gain of the filter;
When the evaluated filtering effect reaches the preset filtering requirement, returning the control parameter threshold after the filtering optimization to the control system, and controlling the operation parameters of the special motor through the control parameter threshold to enable the special motor to meet the expected performance optimization target.
7. The method for controlling a dynamically adjusted special motor according to claim 1, wherein the integrating the real-time operation parameters of the special motor in the control strategy adjustment process analyzes the efficiency and response time of the control strategy, and performs optimization adjustment on the control strategy according to the analysis result; the method specifically comprises the following steps:
collecting and integrating real-time operation parameters of the special motor in each stage in the control strategy adjustment process, and summarizing to form table data of strategy-operation parameters;
Inputting the table data of the strategy-operation parameters into a preset analysis model, and analyzing the operation efficiency of the special motor and the response time of the control strategy through the analysis model to obtain a first analysis result;
and identifying an optimization space for improving the control parameters of the control strategy based on the first analysis result, and obtaining an optimized control strategy.
8. The dynamically adjusted special motor control method of claim 7, wherein the obtaining an optimized control strategy is followed by:
And establishing a feedback mechanism, wherein the special motor runs an optimized control strategy, evaluating the optimizing effect of the control strategy according to the real-time running state fed back by the special motor, and performing secondary adjustment on the optimized control strategy based on the evaluating result of the optimizing effect.
9. A dynamically adjusted special motor control system for implementing the dynamically adjusted special motor control method of any one of claims 1 to 8, the motor control system comprising:
The starting module is used for controlling the special motor to rapidly lift the q-axis current to a starting threshold value;
the efficiency optimization module stores an optimization efficiency strategy, and is used for adjusting the proportion of the d-axis current and the q-axis current according to an efficiency optimization algorithm so as to achieve an optimal efficiency point;
The dynamic response adjustment module is used for dynamically adjusting the control parameter threshold value of the special motor according to an expected performance optimization target and carrying out filtering optimization on the adjusted control parameter threshold value through self-adaptive filtering;
the feedback optimization module is used for analyzing the efficiency and response time of the control strategy and optimizing and adjusting the control strategy according to the analysis result;
the control system is used for controlling the starting module, the efficiency optimization module and the dynamic response adjustment module to operate;
integrating real-time operation parameters of the special motor in the control strategy adjustment process;
And the sensor assembly is used for monitoring the real-time operation parameters of the special motor.
10. The dynamically adjusted special motor control system of claim 9, wherein,
The starting module comprises:
The starting signal receiver is used for receiving a starting instruction;
The self-checking mechanism unit is used for automatically checking motor parameters before the motor is started;
the starting strategy controller is used for adjusting starting parameters of the special motor according to a preset starting strategy;
An inverter control unit for providing an initial q-axis current to generate a starting torque;
The efficiency optimization module comprises:
The steady-state detector is used for identifying that the special motor enters a steady-state running state;
And the efficiency optimization algorithm unit is used for calculating the optimal proportion of the d-axis current and the q-axis current according to the minimum energy consumption configuration.
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| US20150188474A1 (en) * | 2014-01-02 | 2015-07-02 | Rahul Kanchan | Control system and method for an electric three-phase variable speed motor |
| CN117639602A (en) * | 2024-01-26 | 2024-03-01 | 深圳凯升联合科技有限公司 | Self-adaptive motor running state adjusting method and system |
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| US20150188474A1 (en) * | 2014-01-02 | 2015-07-02 | Rahul Kanchan | Control system and method for an electric three-phase variable speed motor |
| CN117639602A (en) * | 2024-01-26 | 2024-03-01 | 深圳凯升联合科技有限公司 | Self-adaptive motor running state adjusting method and system |
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