CN114221599A - Alternating current motor speed regulating system and control method thereof - Google Patents
Alternating current motor speed regulating system and control method thereof Download PDFInfo
- Publication number
- CN114221599A CN114221599A CN202111606701.6A CN202111606701A CN114221599A CN 114221599 A CN114221599 A CN 114221599A CN 202111606701 A CN202111606701 A CN 202111606701A CN 114221599 A CN114221599 A CN 114221599A
- Authority
- CN
- China
- Prior art keywords
- current
- real
- time
- current value
- motor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P27/00—Arrangements or methods for the control of AC motors characterised by the kind of supply voltage
- H02P27/04—Arrangements or methods for the control of AC motors characterised by the kind of supply voltage using variable-frequency supply voltage, e.g. inverter or converter supply voltage
- H02P27/06—Arrangements or methods for the control of AC motors characterised by the kind of supply voltage using variable-frequency supply voltage, e.g. inverter or converter supply voltage using dc to ac converters or inverters
- H02P27/08—Arrangements or methods for the control of AC motors characterised by the kind of supply voltage using variable-frequency supply voltage, e.g. inverter or converter supply voltage using dc to ac converters or inverters with pulse width modulation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Control Of Electric Motors In General (AREA)
Abstract
The invention discloses an alternating current motor speed regulating system, which comprises a temperature sensor, a speed sensor and a speed regulating device, wherein the temperature sensor is used for monitoring the working temperature of an alternating current motor coil; the rotating speed sensor is used for monitoring the real-time rotating speed of the alternating current motor; the load torque sensor is used for monitoring the torque of a load end of the alternating current motor; the real-time current calculation module is in communication connection with the temperature sensor, the rotating speed sensor and the load torque sensor respectively and is used for calculating real-time current; the current optimization calculation module is in communication connection with the real-time current calculation module and is used for optimizing and calculating the current value; and the PWM module is respectively in communication connection with the real-time current calculation module and the current optimization calculation module and is used for outputting PWM signals. The invention can improve the defects of the prior art and improve the speed regulation control accuracy of the alternating current motor.
Description
Technical Field
The invention relates to the technical field of alternating current motor speed regulation, in particular to an alternating current motor speed regulation system and a control method thereof.
Background
The PWM control technology is a very common speed regulation mode of the alternating current motor, and can realize very accurate speed regulation control on the alternating current motor under a theoretical state. However, under actual conditions, due to a lot of interference, the actual working state of the ac motor cannot reach the theoretical state, so that the PWM control program designed according to the theoretical state cannot be well adapted to the actual working state of the ac motor.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an alternating current motor speed regulating system and a control method thereof, which can solve the defects of the prior art and improve the speed regulating control accuracy of the alternating current motor.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
A speed regulating system of an alternating current motor comprises,
the temperature sensor is used for monitoring the working temperature of the alternating current motor coil;
the rotating speed sensor is used for monitoring the real-time rotating speed of the alternating current motor;
the load torque sensor is used for monitoring the torque of a load end of the alternating current motor;
the real-time current calculation module is in communication connection with the temperature sensor, the rotating speed sensor and the load torque sensor respectively and is used for calculating real-time current;
the current optimization calculation module is in communication connection with the real-time current calculation module and is used for optimizing and calculating the current value;
and the PWM module is respectively in communication connection with the real-time current calculation module and the current optimization calculation module and is used for outputting PWM signals.
A control method of the alternating current motor speed regulating system comprises the following steps:
A. the temperature sensor, the rotating speed sensor and the load torque sensor are used for respectively monitoring the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor;
B. the real-time current calculation module calculates real-time current according to monitoring data of the temperature sensor, the rotating speed sensor and the load torque sensor and sends the real-time current to the PWM module, and the PWM module outputs PWM signals according to the real-time current value;
C. the current optimization calculation module performs optimization calculation on the real-time current according to the monitoring data received by the real-time current calculation module and a real-time current calculation result, and sends an optimized current value to the PWM module, and the PWM module outputs a PWM signal according to the optimized current value;
D. and D, repeating the step B and the step C when the operation condition of the alternating current motor changes.
Preferably, in the step B, the calculating of the real-time current by the real-time current calculating module includes the steps of,
b1, calculating the allowable range of the target current value according to the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor, and selecting the optimal current value in the allowable range of the three target current values, wherein the target current value weight calculated by the coil working temperature is larger than the target current value weight calculated by the load torque, and the target current value weight calculated by the load torque is larger than the target current value weight calculated by the real-time rotating speed;
b2, when the allowable ranges of the three target current values have overlapping parts, selecting the current value with the minimum deviation with the optimal current value calculated by the coil working temperature in the overlapping parts as a real-time current value;
and B3, when the allowable ranges of the three target current values do not have overlapped parts, carrying out weighted average by using the three optimal current values and the corresponding weight values to obtain the real-time current value.
Preferably, in the step C, the current optimization calculation module performing optimization calculation on the real-time current comprises the following steps,
c1, respectively fitting to obtain three optimal current curves aiming at the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor according to the historical data of the optimal current value obtained by calculation in the step B;
and C2, optimizing the real-time current value by using the three optimal current curves.
Preferably, in step C1, the three optimal current curves are respectively located within the allowable range of the corresponding target current value.
Preferably, in step C2, the three optimal current curves are fourier-decomposed, the current components occupying the first three bits of each optimal current curve are extracted, then weighted average is performed to obtain an optimized current fundamental wave, and the optimized current fundamental wave is input to the neural network model for iteration to obtain an optimized real-time current value.
Adopt the beneficial effect that above-mentioned technical scheme brought to lie in: aiming at the characteristic that the actual working condition of the alternating current motor is changeable, the control process of the PWM module is divided into two steps. Firstly, a target current value corresponding to a single parameter variable is given by using real-time working condition parameters of the motor, and then different target current values are optimized on the premise of ensuring the stable operation of the motor, so that a temporarily used real-time current value is obtained. The alternating current motor runs by using the PWM signal calculated by the real-time current value, meanwhile, the current optimization calculation module carries out rapid optimization calculation on different target current values, and then the optimized real-time current value is used for obtaining an accurate PWM signal so as to realize accurate control of the rotating speed of the alternating current motor. In order to improve the efficiency of current optimization calculation, the invention specially designs a set of processing method, obtains current fundamental wave by collecting current Fourier decomposition components with larger proportion and carrying out weighting calculation, reduces the characteristic dimensionality and complexity of target data, and then carries out neural network iterative calculation by using the current fundamental wave, thereby reducing the iterative operation operand while effectively reducing the iteration times. Therefore, the alternating current motor can reach the stable target rotating speed at the fastest speed when the PWM signal is updated every time.
Drawings
FIG. 1 is a schematic diagram of one embodiment of the present invention.
Detailed Description
Referring to fig. 1, one embodiment of the present invention includes,
the temperature sensor 1 is used for monitoring the working temperature of the alternating current motor coil;
the rotating speed sensor 2 is used for monitoring the real-time rotating speed of the alternating current motor;
the load torque sensor 3 is used for monitoring the torque of a load end of the alternating current motor;
the real-time current calculation module 4 is respectively in communication connection with the temperature sensor 1, the rotating speed sensor 2 and the load torque sensor 3 and is used for calculating real-time current;
the current optimization calculation module 5 is in communication connection with the real-time current calculation module 4 and is used for optimizing and calculating a current value;
and the PWM module 6 is in communication connection with the real-time current calculation module 4 and the current optimization calculation module 5 respectively and is used for outputting PWM signals.
A control method of the alternating current motor speed regulating system comprises the following steps:
A. the temperature sensor 1, the rotating speed sensor 2 and the load torque sensor 3 respectively monitor the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor;
B. the real-time current calculation module 4 calculates real-time current according to monitoring data of the temperature sensor 1, the rotating speed sensor 2 and the load torque sensor 3 and sends the real-time current to the PWM module 6, and the PWM module 6 outputs PWM signals according to the real-time current value;
C. the current optimization calculation module 5 performs optimization calculation on the real-time current according to the monitoring data received by the real-time current calculation module 4 and a real-time current calculation result, and sends an optimized current value to the PWM module 6, and the PWM module 6 outputs a PWM signal according to the optimized current value;
D. and D, repeating the step B and the step C when the operation condition of the alternating current motor changes.
In step B, the real-time current calculating module 4 calculates the real-time current including the following steps,
b1, calculating the allowable range of the target current value according to the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor, and selecting the optimal current value in the allowable range of the three target current values, wherein the target current value weight calculated by the coil working temperature is larger than the target current value weight calculated by the load torque, and the target current value weight calculated by the load torque is larger than the target current value weight calculated by the real-time rotating speed;
b2, when the allowable ranges of the three target current values have overlapping parts, selecting the current value with the minimum deviation with the optimal current value calculated by the coil working temperature in the overlapping parts as a real-time current value;
and B3, when the allowable ranges of the three target current values do not have overlapped parts, carrying out weighted average by using the three optimal current values and the corresponding weight values to obtain the real-time current value.
In step C, the current optimization calculation module 5 performs optimization calculation on the real-time current, including the following steps,
c1, respectively fitting to obtain three optimal current curves aiming at the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor according to the historical data of the optimal current value obtained by calculation in the step B;
and C2, optimizing the real-time current value by using the three optimal current curves.
In step C1, the three optimal current curves are respectively located within the allowable range of the corresponding target current value.
In step C2, the three optimal current curves are fourier-decomposed, the current components occupying the first three bits of each optimal current curve are extracted, then weighted average is performed to obtain an optimized current fundamental wave, and the optimized current fundamental wave is input to the neural network model for iteration to obtain an optimized real-time current value.
The invention improves the technology aiming at the actual working state of the alternating current motor, optimizes the speed regulation process and effectively improves the accuracy of the actual speed regulation process of the alternating current motor.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, are merely for convenience of description of the present invention, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. An alternating current motor speed control system which characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the temperature sensor (1) is used for monitoring the working temperature of the alternating current motor coil;
the rotating speed sensor (2) is used for monitoring the real-time rotating speed of the alternating current motor;
the load torque sensor (3) is used for monitoring the torque of a load end of the alternating current motor;
the real-time current calculation module (4) is respectively in communication connection with the temperature sensor (1), the rotating speed sensor (2) and the load torque sensor (3) and is used for calculating real-time current;
the current optimization calculation module (5) is in communication connection with the real-time current calculation module (4) and is used for optimizing and calculating a current value;
and the PWM module (6) is in communication connection with the real-time current calculation module (4) and the current optimization calculation module (5) respectively and is used for outputting PWM signals.
2. A method of controlling a speed regulation system for an ac motor according to claim 1, comprising the steps of:
A. the temperature sensor (1), the rotating speed sensor (2) and the load torque sensor (3) respectively monitor the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor;
B. the real-time current calculating module (4) calculates real-time current according to monitoring data of the temperature sensor (1), the rotating speed sensor (2) and the load torque sensor (3) and sends the real-time current to the PWM module (6), and the PWM module (6) outputs PWM signals according to the real-time current value;
C. the current optimization calculation module (5) performs optimization calculation on the real-time current according to the monitoring data received by the real-time current calculation module (4) and a real-time current calculation result, and sends an optimized current value to the PWM module (6), and the PWM module (6) outputs a PWM signal according to the optimized current value;
D. and D, repeating the step B and the step C when the operation condition of the alternating current motor changes.
3. The control method of the ac motor speed regulation system according to claim 2, characterized in that: in the step B, the real-time current calculating module (4) calculates the real-time current and comprises the following steps,
b1, calculating the allowable range of the target current value according to the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor, and selecting the optimal current value in the allowable range of the three target current values, wherein the target current value weight calculated by the coil working temperature is larger than the target current value weight calculated by the load torque, and the target current value weight calculated by the load torque is larger than the target current value weight calculated by the real-time rotating speed;
b2, when the allowable ranges of the three target current values have overlapping parts, selecting the current value with the minimum deviation with the optimal current value calculated by the coil working temperature in the overlapping parts as a real-time current value;
and B3, when the allowable ranges of the three target current values do not have overlapped parts, carrying out weighted average by using the three optimal current values and the corresponding weight values to obtain the real-time current value.
4. The control method of the ac motor speed regulation system according to claim 3, characterized in that: in the step C, the current optimization calculation module (5) carries out optimization calculation on the real-time current and comprises the following steps,
c1, respectively fitting to obtain three optimal current curves aiming at the coil working temperature, the real-time rotating speed and the load torque of the alternating current motor according to the historical data of the optimal current value obtained by calculation in the step B;
and C2, optimizing the real-time current value by using the three optimal current curves.
5. The control method of the alternating current motor speed regulating system according to claim 4, characterized in that: in step C1, the three optimal current curves are respectively located within the allowable range of the corresponding target current value.
6. The control method of the ac motor speed regulation system according to claim 5, characterized in that: in step C2, the three optimal current curves are fourier-decomposed, the current components occupying the first three bits of each optimal current curve are extracted, then weighted average is performed to obtain an optimized current fundamental wave, and the optimized current fundamental wave is input to the neural network model for iteration to obtain an optimized real-time current value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111606701.6A CN114221599B (en) | 2021-12-26 | 2021-12-26 | Alternating current motor speed regulating system and control method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111606701.6A CN114221599B (en) | 2021-12-26 | 2021-12-26 | Alternating current motor speed regulating system and control method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114221599A true CN114221599A (en) | 2022-03-22 |
| CN114221599B CN114221599B (en) | 2022-09-16 |
Family
ID=80705799
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111606701.6A Active CN114221599B (en) | 2021-12-26 | 2021-12-26 | Alternating current motor speed regulating system and control method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114221599B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103956953A (en) * | 2014-05-13 | 2014-07-30 | 北京理工大学 | Sliding-mode observer based brushless direct-current motor state estimation method |
| US20170063262A1 (en) * | 2015-02-12 | 2017-03-02 | Zhongshan Broad-Ocean Motor Co., Ltd. | Method for acquiring constant torque of electronically commutated motors |
| CN107425762A (en) * | 2017-07-04 | 2017-12-01 | 大连海事大学 | A kind of three-phase switch reluctance machine prediction moment controlling system and method |
| CN108226774A (en) * | 2016-12-09 | 2018-06-29 | 上海大郡动力控制技术有限公司 | The automatic calibration system and method for Over Electric Motor with PMSM |
| CN208283527U (en) * | 2018-06-08 | 2018-12-25 | 上海金艺检测技术有限公司 | AC induction motor on-line monitoring and diagnosis system based on spectrum analysis |
| CN111464081A (en) * | 2020-05-06 | 2020-07-28 | 长安大学 | Multi-direct-current motor series system and torque control method |
| WO2020243549A1 (en) * | 2019-05-30 | 2020-12-03 | Magna International Inc. | Motor drive optimization system and method |
| CN113824368A (en) * | 2021-09-08 | 2021-12-21 | 南京凌鸥创芯电子有限公司 | Compressor control method based on load torque dynamic compensation |
-
2021
- 2021-12-26 CN CN202111606701.6A patent/CN114221599B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103956953A (en) * | 2014-05-13 | 2014-07-30 | 北京理工大学 | Sliding-mode observer based brushless direct-current motor state estimation method |
| US20170063262A1 (en) * | 2015-02-12 | 2017-03-02 | Zhongshan Broad-Ocean Motor Co., Ltd. | Method for acquiring constant torque of electronically commutated motors |
| CN108226774A (en) * | 2016-12-09 | 2018-06-29 | 上海大郡动力控制技术有限公司 | The automatic calibration system and method for Over Electric Motor with PMSM |
| CN107425762A (en) * | 2017-07-04 | 2017-12-01 | 大连海事大学 | A kind of three-phase switch reluctance machine prediction moment controlling system and method |
| CN208283527U (en) * | 2018-06-08 | 2018-12-25 | 上海金艺检测技术有限公司 | AC induction motor on-line monitoring and diagnosis system based on spectrum analysis |
| WO2020243549A1 (en) * | 2019-05-30 | 2020-12-03 | Magna International Inc. | Motor drive optimization system and method |
| CN111464081A (en) * | 2020-05-06 | 2020-07-28 | 长安大学 | Multi-direct-current motor series system and torque control method |
| CN113824368A (en) * | 2021-09-08 | 2021-12-21 | 南京凌鸥创芯电子有限公司 | Compressor control method based on load torque dynamic compensation |
Non-Patent Citations (1)
| Title |
|---|
| 邵方阁等: "基于Simulink的电力测功机算法模型研究", 《河南科技》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114221599B (en) | 2022-09-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112883652B (en) | Design method of wind power plant active power off-line prediction controller considering dynamic wake flow | |
| CN108134549A (en) | A kind of method for improving permanent magnet synchronous motor speed estimate stability | |
| CN102927666B (en) | Intelligent control system and method of central air-conditioner | |
| CN106406083A (en) | Fuzzy control coal dressing method | |
| CN111222707B (en) | Wind speed prediction method based on time series mutation error correction | |
| CN110363355B (en) | Cloud-edge collaborative forecasting system and method for alumina production index | |
| CN110739893A (en) | improved self-adaptive trackless Kalman filtering rotational inertia identification method | |
| CN107294449B (en) | Induction motor temperature identification method based on model predictive control | |
| CN106067744A (en) | A kind of novel intelligent motor controller | |
| CN107272409A (en) | A kind of linear servo system vibration suppressing method based on iterative learning | |
| CN102797631A (en) | Method, system and device for carrying out online self-correcting on optimal gain of wind generating set | |
| CN114221599B (en) | Alternating current motor speed regulating system and control method thereof | |
| CN116582596A (en) | Data processing method and device and PLC data transmission system based on Internet of things | |
| CN101763087A (en) | Industrial process dynamic optimization system and method based on nonlinear conjugate gradient method | |
| CN113266318B (en) | Self-learning-based stroke frequency adjusting method for rod-type pumping unit well | |
| WO2019174189A1 (en) | Dynamic recognition and control parameter correction system and method | |
| CN102873433A (en) | Method for predicting and setting wire feed speed of double-wire arc welding | |
| CN116252039B (en) | Intelligent control method and system for inertia friction welding machine | |
| CN110347045B (en) | Cleaning condition control method based on angle of air separating plate, opening degree of fish scale screen and rotating speed of fan | |
| CN105955350B (en) | The fractional order predictive functional control algorithm of genetic algorithm optimization furnace temp | |
| CN111525863B (en) | Motor speed regulating device and control method thereof | |
| CN110036735A (en) | A kind of intelligent control method and device of corn intertillage real-time variable fertilising | |
| CN112838802B (en) | Method and apparatus for controlling operation of rotating electrical machine | |
| CN106292569A (en) | Oil pumper gang of wells soft drive control system | |
| CN103439964A (en) | On-line updating system and method for OCSVM monitoring model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |