CN109639207A - Synchronous motor energy-saving fuzzy controller method - Google Patents
Synchronous motor energy-saving fuzzy controller method Download PDFInfo
- Publication number
- CN109639207A CN109639207A CN201811652624.6A CN201811652624A CN109639207A CN 109639207 A CN109639207 A CN 109639207A CN 201811652624 A CN201811652624 A CN 201811652624A CN 109639207 A CN109639207 A CN 109639207A
- Authority
- CN
- China
- Prior art keywords
- fuzzy
- fuzzy controller
- controller
- synchronous motor
- saving
- 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.)
- Pending
Links
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
- H02P23/00—Arrangements or methods for the control of AC motors characterised by a control method other than vector control
- H02P23/0004—Control strategies in general, e.g. linear type, e.g. P, PI, PID, using robust control
- H02P23/0013—Control strategies in general, e.g. linear type, e.g. P, PI, PID, using robust control using fuzzy control
-
- 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
- H02P25/00—Arrangements or methods for the control of AC motors characterised by the kind of AC motor or by structural details
- H02P25/02—Arrangements or methods for the control of AC motors characterised by the kind of AC motor or by structural details characterised by the kind of motor
- H02P25/022—Synchronous motors
-
- 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
- H02P6/00—Arrangements for controlling synchronous motors or other dynamo-electric motors using electronic commutation dependent on the rotor position; Electronic commutators therefor
- H02P6/34—Modelling or simulation for control purposes
-
- 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
- H02P2207/00—Indexing scheme relating to controlling arrangements characterised by the type of motor
- H02P2207/05—Synchronous machines, e.g. with permanent magnets or DC excitation
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Automation & Control Theory (AREA)
- Fuzzy Systems (AREA)
- Control Of Electric Motors In General (AREA)
Abstract
The invention discloses synchronous motor energy-saving fuzzy controller methods, are made of defuzzification interface, knowledge base, indistinct logic computer, ambiguity solution interface, include the following steps: to construct fuzzy controller in Matlab analogue system；By the fuzzy controller constructed in step 1 in conjunction with traditional PID controller, fuzzy controller is constituted；The beneficial effects of the present invention are: the composite controller of design improves speed responsive, makes system that there is good dynamic and static state performance, meet the needs of High Definition Systems.
Description
Technical field
The invention belongs to synchronous motor energy-saving control technology fields, and in particular to synchronous motor energy-saving fuzzy controller
Method.
Background technique
Synchronous electric motor rotor side generate electric current mode it is different from asynchronous motor, and make synchronous motor have power because
The adjustable valuable characteristic of number, this characteristic are the power-saving mechanism place of synchronous motor；Fuzzy control is used to be missed with system
Difference and error change are the two-dimensional fuzzy controller structure type of read statement variable, are capable of handling the uncertain spy of controll plant
Property, have the characteristics that implementation method is simple, operation is quick, strong real-time, system can obtain good dynamic characteristic.
Existing synchronous motor fuzzy control in static characteristic Shortcomings, and fuzzy control flexibly and adaptability
There is deficiencies, and there is deficiencies in terms of control effect, in order to make system is flexible, strong applicability with fuzzy control to have
Point has the characteristics that PID control is with high accuracy, has good control effect；The present invention provides a kind of synchronous motor section thus
It can fuzzy controller method.
Summary of the invention
The purpose of the present invention is to provide synchronous motor energy-saving fuzzy controller methods, to solve in above-mentioned background technique
The existing synchronous motor fuzzy control proposed is flexibly deposited with adaptability in static characteristic Shortcomings, and in fuzzy control
In deficiency, it there is deficiency in terms of control effect.
To achieve the above object, the invention provides the following technical scheme: synchronous motor energy-saving fuzzy controller method, by
Defuzzification interface, knowledge base, indistinct logic computer, ambiguity solution interface composition, wherein
Defuzzification interface: receive error signal etInput, by etRegenerate error rateOr the difference delta e of errort；
Knowledge base: the performance of fuzzy controller, the core of fuzzy controller are decide；
Indistinct logic computer: the core of fuzzy expert system, function are the uncertain evidences inputted according to system, utilize mould
Paste knowledge base and uncertainty knowledge in fuzzy database, by certain uncertain inference strategy；
Ambiguity solution interface: the inverse process of blurring is generated the numerical value of control ul by fuzzy reasoning result, as fuzzy control
The output of device；
Include the following steps:
Step 1: fuzzy controller is constructed in Matlab analogue system；
Step 2: by the fuzzy controller constructed in step 1 in conjunction with traditional PID controller, fuzzy control is constituted
Device processed.
As a preferred technical solution of the invention, the knowledge base includes database and rule base.
As a preferred technical solution of the invention, the fuzzy controller follows fuzzy control rule, control rule
It is then formed by connecting by a series of relatives, relative includes being not limited to: if-then, also and or.
Compared with prior art, the beneficial effects of the present invention are: design composite controller improve speed responsive, make be
System has good dynamic and static state performance, meets the needs of High Definition Systems.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is structure of fuzzy controller figure of the invention；
Fig. 3 is fuzzy controller figure of the invention；
Specific embodiment
The fuzzy controller that design is applied to speed ring uses widely applied two-dimensional fuzzy controller, one is defeated
Entering variable is the error E between motor output speeds value of feedback and given rotating speed, another input variable is the variation of speed error
Rate EC, i.e., the difference of speed error in the unit time；Output end is designed as multi output, since fuzzy controller is in tradition
It joined fuzzy control on the basis of PID control, therefore only need to slightly be corrected on the basis of traditional PID adjustment parameter, taken
The correction value Δ K of 3 parameters P, I, D of conventional PID controllersp, Δ Ki, Δ KdOutput as fuzzy controller；Remember E, EC,
ΔKp, Δ Ki, Δ KdFuzzy variable be Kp, ki, kd, fuzzy subset is NB (negative big), and NM (in negative), NS (is born small), ZO (zero),
PS (just small), PM (center), PB (honest)；Input quantity e is selected, ec subordinating degree function is Gaussian, and the centre of e is close steady to increase
State precision；Export Kp, ki, kdSubordinating degree function be triangle；Fuzzy control rule is formed by connecting by a series of relatives, most
Common relative has if-then, also, or and and, and the mould of each output quantity and input quantity is determined according to the experience in application
Paste control vagueness of regulations push-pull picklingline follows very big, minimum composition rule, and uses Mamdani type Fuzzy Logic Reasoning Algorithm；
The control amount (precise volume) that FUZZY ALGORITHMS FOR CONTROL provides, can't directly control object, and reality output need to carry out at de-fuzzy
Reason converts it in the receptible basic domain of control object institute, and de-fuzzy Processing Algorithm uses centroid method.
KpFuzzy reasoning table
kiFuzzy reasoning table
kdFuzzy reasoning table
Synchronous motor energy-saving fuzzy controller method, is connect by defuzzification interface, knowledge base, indistinct logic computer, ambiguity solution
Mouth composition, wherein
Defuzzification interface: receive error signal etInput, by etRegenerate error rateOr the difference delta e of errort；
Knowledge base: decide that the performance of fuzzy controller, the core of fuzzy controller, knowledge base include database and rule
Library；Database: store all knowledge of related blurring, fuzzy reasoning, ambiguity solution；Rule base: including a series of relatives
The fuzzy control rule of composition；
Indistinct logic computer: the core of fuzzy expert system, function are the uncertain evidences inputted according to system, utilize mould
Paste knowledge base and uncertainty knowledge in fuzzy database, by certain uncertain inference strategy；
Ambiguity solution interface: the inverse process of blurring is generated the numerical value of control ul by fuzzy reasoning result, as fuzzy control
The output of device；
Include the following steps:
Step 1: fuzzy controller is constructed in Matlab analogue system；
Step 2: by the fuzzy controller constructed in step 1 in conjunction with traditional PID controller, fuzzy control is constituted
Device processed.
Since the input of fuzzy controller, output must be fuzzy quantities, input is blurred；For speed ring
PID controller takes the basic domain of input quantity velocity error and velocity error change rate for [one 50 ,+50], [one 500 ,+
500], K is takenp, ki, kdBasic domain be [one 0.2 ,+0.2], [one 0.1 ,+0.1], [one 0.01 ,+0.01], by Fuzzy Control
Device processed and PID controller connect together, and constitute fuzzy controller.
Under Matlab environment, simulation model is established, the fuzzy control strategy of speed ring fuzzy controller is imitated
Very, the parameter of electric machine are as follows: rated power 75kW, rated speed 2000rmin-1, stator resistance R=79.0639m Ω, it is cross, straight
Axle inductance is respectively Ld=2.206mH, Lq=3.881mH, rotary inertia j=0.05 kgm2, number of pole-pairs p=4, nominal torque
Watt=358Nm, Φ o=557.88mT observed, and system has good dynamic and static performance, demonstrates fuzzy control
Good control performance of the device processed in rotational speed regulation link.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (3)
1. synchronous motor energy-saving fuzzy controller method, which is characterized in that by defuzzification interface, knowledge base, indistinct logic computer,
Ambiguity solution interface composition, wherein
Defuzzification interface: receive error signal etInput, by etRegenerate error rateOr the difference delta e of errort；
Knowledge base: the performance of fuzzy controller, the core of fuzzy controller are decide；
Indistinct logic computer: the core of fuzzy expert system, function are the uncertain evidences inputted according to system, are known using fuzzy
Know library and uncertainty knowledge in fuzzy database, by certain uncertain inference strategy；
Ambiguity solution interface: the inverse process of blurring is generated the numerical value of control ul by fuzzy reasoning result, as fuzzy controller
Output；
Include the following steps:
Step 1: fuzzy controller is constructed in Matlab analogue system；
Step 2: by the fuzzy controller constructed in step 1 in conjunction with traditional PID controller, fuzzy controller is constituted.
2. synchronous motor energy-saving fuzzy controller method according to claim 1, it is characterised in that: the knowledge base packet
Include database and rule base.
3. synchronous motor energy-saving fuzzy controller method according to claim 1, it is characterised in that: the fuzzy control
Device follows fuzzy control rule, and control rule is formed by connecting by a series of relatives, and relative includes being not limited to: if-then,
Also and or.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811652624.6A CN109639207A (en) | 2018-12-29 | 2018-12-29 | Synchronous motor energy-saving fuzzy controller method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811652624.6A CN109639207A (en) | 2018-12-29 | 2018-12-29 | Synchronous motor energy-saving fuzzy controller method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109639207A true CN109639207A (en) | 2019-04-16 |
Family
ID=66056285
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811652624.6A Pending CN109639207A (en) | 2018-12-29 | 2018-12-29 | Synchronous motor energy-saving fuzzy controller method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109639207A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110829903A (en) * | 2019-11-06 | 2020-02-21 | 深圳市法拉第电驱动有限公司 | Control system and method for suppressing current harmonic waves of permanent magnet synchronous motor |
| CN112096649A (en) * | 2020-08-28 | 2020-12-18 | 武汉理工大学 | Vehicle-mounted air conditioner fan control method, storage medium and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103199774A (en) * | 2012-01-06 | 2013-07-10 | 沈阳新松机器人自动化股份有限公司 | Device and method for drive control of servo direct current motor |
| CN104709748A (en) * | 2015-01-09 | 2015-06-17 | 西安交通大学 | FPGA-based thin film rolling tension control system and method |
| CN105610365A (en) * | 2016-03-02 | 2016-05-25 | 上海理工大学 | Control method of permanent-magnet servo motor |
| CN106452248A (en) * | 2016-12-12 | 2017-02-22 | 湖南工业大学 | Direct current speed control mothed based on fuzzy PID control |
| CN106849814A (en) * | 2017-03-27 | 2017-06-13 | 无锡开放大学 | Leapfroged Fuzzy Neural PID linear synchronous generator control method based on fruit bat |
| CN107508506A (en) * | 2017-09-22 | 2017-12-22 | 哈尔滨理工大学 | A kind of brshless DC motor fuzzy-adaptation PID control governing system and method |
-
2018
- 2018-12-29 CN CN201811652624.6A patent/CN109639207A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103199774A (en) * | 2012-01-06 | 2013-07-10 | 沈阳新松机器人自动化股份有限公司 | Device and method for drive control of servo direct current motor |
| CN104709748A (en) * | 2015-01-09 | 2015-06-17 | 西安交通大学 | FPGA-based thin film rolling tension control system and method |
| CN105610365A (en) * | 2016-03-02 | 2016-05-25 | 上海理工大学 | Control method of permanent-magnet servo motor |
| CN106452248A (en) * | 2016-12-12 | 2017-02-22 | 湖南工业大学 | Direct current speed control mothed based on fuzzy PID control |
| CN106849814A (en) * | 2017-03-27 | 2017-06-13 | 无锡开放大学 | Leapfroged Fuzzy Neural PID linear synchronous generator control method based on fruit bat |
| CN107508506A (en) * | 2017-09-22 | 2017-12-22 | 哈尔滨理工大学 | A kind of brshless DC motor fuzzy-adaptation PID control governing system and method |
Non-Patent Citations (2)
| Title |
|---|
| 刘慧博等: "无刷直流电机模糊自适应PID 控制研究与仿真", 《控制工程》 * |
| 马立新等: "永磁伺服电机模糊ＰＩＤ自整定ＳＶＰＷＭ 控制研究", 《电子测量技术》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110829903A (en) * | 2019-11-06 | 2020-02-21 | 深圳市法拉第电驱动有限公司 | Control system and method for suppressing current harmonic waves of permanent magnet synchronous motor |
| CN112096649A (en) * | 2020-08-28 | 2020-12-18 | 武汉理工大学 | Vehicle-mounted air conditioner fan control method, storage medium and system |
| CN112096649B (en) * | 2020-08-28 | 2022-04-19 | 武汉理工大学 | Vehicle-mounted air conditioner fan control method, storage medium and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110572091B (en) | Optimized sensorless control method for permanent magnet synchronous motor | |
| CN105119549B (en) | A kind of motor stator resistance discrimination method | |
| CN107070342A (en) | A kind of control system for permanent-magnet synchronous motor of bringing onto load state observer | |
| Qiang et al. | PMSM servo control system design based on fuzzy PID | |
| CN109270833A (en) | A kind of Varied scope fuzzy control method based on brshless DC motor Q study | |
| CN108365787A (en) | A kind of Permanent-magnet Synchronous-motor Speed Servo System and its design method based on internal model control | |
| CN107370431A (en) | A kind of industrial robot obscures Auto-disturbance-rejection Control with permagnetic synchronous motor | |
| CN109639207A (en) | Synchronous motor energy-saving fuzzy controller method | |
| CN107196569B (en) | DSP-based quantitative setting method for rotating speed estimation PI parameters | |
| CN110138300B (en) | Method for identifying rotor resistance of bearingless asynchronous motor based on reactive power | |
| Yuanxi et al. | Fuzzy auto-adjust PID controller design of brushless DC motor | |
| CN110011582A (en) | A kind of permanent magnet synchronous motor vector control method | |
| CN112838797A (en) | Permanent magnet synchronous motor fuzzy sliding mode control method based on improved index approach law | |
| CN109507869A (en) | A kind of optimization method of the motor control PI parameter suitable for permanent magnet synchronous motor | |
| Aissaoui et al. | Application of fuzzy logic in control of electrical machines | |
| CN110703591A (en) | Control method of active disturbance rejection controller of rotary valve driving motor | |
| Wang et al. | Improved variable universe fuzzy PID application in brushless DC motor speed regulation system | |
| CN114499314B (en) | Permanent magnet synchronous motor active disturbance rejection control method | |
| CN113037174B (en) | Permanent magnet synchronous motor composite variable structure control method based on fuzzy switching strategy | |
| CN116094390A (en) | Two-degree-of-freedom speed regulation method of asynchronous motor based on novel active disturbance rejection algorithm | |
| Xu et al. | Servo control system of permanent magnet synchronous motor based on feedforward control | |
| CN110048653B (en) | Sliding mode variable structure MRAS rotating speed identification method of bearingless asynchronous motor | |
| Tang et al. | Direct torque control of induction motor based on self-adaptive PI controller | |
| Li et al. | Research on an improved single neuron PI control strategy | |
| Shi et al. | Design of servo control system for medical centrifuge based on fuzzy neural network |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190416 |