A speed regulation method of brushless DC motor based on fuzzy pi-pd control

A brushless DC motor, PI-PD technology, applied in the model/simulation of control purposes, power management, electric vehicles, etc., can solve the problems of unable to guarantee closed-loop control performance, unable to adjust the speed of DC motor, etc., to achieve ideal control effect The effect of optimization, suppression of nonlinearity, and stability of the control state

Active Publication Date: 2022-05-31
CHANGCHUN UNIV OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the brushless DC motor is in a non-linear operating state during the speed regulation process, and the traditional PID control cannot be used to regulate the speed of the DC motor.
[0003] Traditional control strategies, such as PID control, have the advantages of simple structure and easy implementation. Usually, better performance can be obtained in the case of parameter matching, but in the case of system parameter changes or load disturbances, it is often impossible to guarantee ideal closed-loop control. performance

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A speed regulation method of brushless DC motor based on fuzzy pi-pd control
  • A speed regulation method of brushless DC motor based on fuzzy pi-pd control
  • A speed regulation method of brushless DC motor based on fuzzy pi-pd control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be described in detail below in conjunction with specific embodiments. It should be noted that the techniques described in the following examples

[0018] The present invention provides a brushless DC motor speed control method based on fuzzy PI-PD control. including model building

[0023] Step 4: adopt the centroid method to de-fuzzify the fuzzy subset to obtain a clear amount for control.

[0031] k

[0032] k

[0034] The quality of the control quality mainly depends on the rationality of the selection of the control parameters. According to experience, the response speed from the system

[0038] Step 4: adopt the center of gravity method to de-fuzzify the fuzzy subset to obtain a clear amount for control.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a speed regulation method of a DC brushless motor based on fuzzy PI-PD control. Including the establishment of the model and the speed regulation method, the establishment of the model includes a two-level fuzzy controller, the first-level fuzzy control adjusts the parameters of the PI controller in real time, and the second-level fuzzy control adjusts the scaling factor of the output of the first-level fuzzy controller. The speed regulation method is to first compare the actual speed n of the motor with the given speed n r Comparing calculations to obtain the final deviation e and deviation change rate ec, the above two deviations are fuzzified in the fuzzy controller 1, and the fuzzy E and EC are handed over to the fuzzy controller for inference work, thus obtaining k after defuzzification 1p and k 1i , use the same method in fuzzy controller 2 to get k 2p and k 2i , and then multiply the output of the two fuzzy controllers, the result is input into the PI controller, and finally input into the brushless DC motor model through PD control adjustment, so as to achieve the purpose of controlling the motor speed. And the present invention adopts fuzzy control without relying on the precise mathematical model of the controlled motor, making it more stable in the control state, and can effectively suppress the non-linear situation of the controlled motor; in the control process, the fuzzy PI-PD Self-tuning can continuously monitor the changes of parameters and the real-time feedback of parameters to optimize the control effect.

Description

A speed regulation method of brushless DC motor based on fuzzy PI-PD control technical field The invention belongs to the technical field of DC motor speed regulation, be specifically related to a kind of DC motor based on fuzzy PI-PD control Brush motor speed regulation method. Background technique [0002] Brushless DC motors have been used in mechanical power equipment, electric vehicles, robots and other fields. But brushless straight The flow motor is a non-linear operating state in the process of speed regulation, and the traditional PID control is not very good for DC The speed of the motor is adjusted. Traditional control strategies, such as PID control, have the advantages of simple structure and easy implementation. In the case of system parameter changes or load disturbance, better performance can be obtained, but the ideal performance cannot be guaranteed. Closed-loop control performance. SUMMARY OF THE INVENTION In order to solve the above-mention...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H02P6/34
CPCH02P6/34Y02T10/72
Inventor 胡黄水赵思远杨兴旺
Owner CHANGCHUN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products