Research on Fuzzy PID Controller for AC Permanent Magnet Synchronous Motor Servo System

2014 ◽  
Vol 680 ◽  
pp. 334-337 ◽  
Author(s):  
Hong Hu ◽  
Ya Xin Cui
Keyword(s):  
Permanent Magnet ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Permanent Magnet Synchronous Motor ◽  
Servo System ◽  
Synchronous Motor ◽  
Servo Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Stability Performance

This paper studied the fuzzy PID method on controlling permanent magnet synchronous motor servo system. The servo control system consists of the S3C2410 and drive circuit, etc. A fuzzy PID controller is designed by combined fuzzy control with conventional PID control, Fuzzy inference rule of PID parameters is designed according to nonlinear and uncertainty of the PMSM servo system, which would result in changes of characteristic parameters of object or structure. Simulation results indicate that the fuzzy PID controller is superior to the conventional PID controller in dynamic stability performance.

scholarly journals PSO based Takagi-Sugeno fuzzy PID controller design for speed control of permanent magnet synchronous motor

2021 ◽  
Vol 34 (2) ◽  
pp. 203-217
Author(s):  
Hamid Ghadiri ◽  
Hamed Khodadadi ◽  
Hooman Eijei ◽  
Milad Ahmadi
Keyword(s):  
Fuzzy Logic ◽  
Evolutionary Algorithm ◽  
Permanent Magnet ◽  
Pid Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Takagi Sugeno

A permanent magnet synchronous motor (PMSM) is one kind of popular motor. They are utilized in industrial applications because their abilities included operation at a constant speed, no need for an excitation current, no rotor losses, and small size. In the following paper, a fuzzy evolutionary algorithm is combined with a proportional-integral-derivative (PID) controller to control the speed of a PMSM. In this structure, to overcome the PMSM challenges, including nonlinear nature, cross-coupling, air gap flux, and cogging torque in operation, a Takagi-Sugeno fuzzy logic-PID (TSFL-PID) controller is designed. Additionally, the particle swarm optimization (PSO) algorithm is developed to optimize the membership functions' parameters and rule bases of the fuzzy logic PID controller. For evaluating the proposed controller's performance, the genetic algorithm (GA), as another evolutionary algorithm, is incorporated into the fuzzy PID controller. The results of the speed control of PMSM are compared. The obtained results demonstrate that although both controllers have excellent performance; however, the PSO based TSFL-PID controller indicates more superiority.

Design of Fuzzy Controllers in AC Servo System

2013 ◽  
Vol 668 ◽  
pp. 401-405
Author(s):  
Jian Hong Zhou ◽  
Yan Du ◽  
Zheng Weng
Keyword(s):  
Permanent Magnet ◽  
Pid Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Servo Control ◽  
Current Loop ◽  
Ac Servo System ◽  
Ac Servo ◽  
Servo Control System ◽  
Object Of Control

This paper introduces an ac servo control system that uses permanent magnet synchronous motor (PMSM) as object of control. It combines the feature of permanent magnet synchronous motor and servo-control, and designs the fuzzy self-adaptive of PID controller to achieve control of the position loop, speed loop and current loop. The simulation results of Matlab7.9 show that the controller has an excellent controlling effect.

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