scholarly journals Permanent Magnet Synchronous Motor Vector Control System Based on the Fuzzy PID Controller

2018 ◽  
Author(s):  
Ruimin Qi ◽  
Guodong Zhang
Keyword(s):  
Control System ◽  
Vector Control ◽  
Permanent Magnet ◽  
Pid Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Vector Control System

A Study of Vector Control of Induction Machine Considering Iron Loss

2011 ◽  
Vol 268-270 ◽  
pp. 129-137
Author(s):  
Dong Sheng Ding ◽  
Xue Jie Wang ◽  
Xiao Ping Luo
Keyword(s):  
Control System ◽  
Vector Control ◽  
Pid Controller ◽  
Induction Machine ◽  
Environmental Parameters ◽  
Iron Loss ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Vector Control System ◽  
Fuzzy Adaptive

Because of the imperfects of traditional induction control system neglecting iron loss, this paper introduced the parallel equivalent resistance of iron loss, and use new mathematical model of induction machine to establish a more accurate vector control system. However, the increased coupling of parameters in induction machine caused by iron loss is undeserved. We simplified the decoupled system and utilize fuzzy adaptive mechanism to make the speed tuning process more intelligent and robust. The load and non-load experiments show that fuzzy PID controller overcomes the shortcomings of the traditional, reduces the detrimental impacts of iron loss, take advantages of the active impacts from it as well. In the new control system, it adapts to both inner and environmental parameters well, the torque and exciting current are smoother and lower. So, it is extremely meaningful and conducive to the realization of the economical speed tuning.

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.

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.

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