scholarly journals Path Tracking of Permanent Magnet Synchronous Motor Using Fractional Order Fuzzy PID Controller

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1118
Author(s):  
Chong-Quan Zhong ◽  
Lin Wang ◽  
Chuan-Fang Xu
Keyword(s):  
Fuzzy Control ◽  
Permanent Magnet ◽  
Fractional Order ◽  
Pid Controller ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Path Tracking ◽  
Ac Servo System ◽  
Ac Servo

Permanent magnet synchronous motor (PMSM) AC servo system has the characteristics of uncertainty, time-varying, nonlinear and fractional order. Applying the traditional control method is difficult to achieve the desired control effect. The fuzzy control has strong adaptability to the parameter change, nonlinearity and imprecise model of the controlled object. The simulation model of permanent magnet synchronous motor three closed-loop systems is established. The control principle and the realization of space vector pulse width modulation (SVPWM) are studied by using a vector control strategy. Due to the fractional-order characteristic of the motor, a fuzzy logic algorithm is used to realize the parameter self-tuning of the fractional-order proportional integral differential (PID) controller. The controller is selected as the position regulator of the servo motor. It combines the precision of fractional-order PID controller with the adaptability of fuzzy control and adds feed-forward to improve the response speed. The path tracking experiments on several different paths are carried out, and the results show that the control method is effective and can meet the trajectory tracking requirements of servo control. Finally, the speed and position tracking test of the PMSM AC servo system is carried out on the test verification platform, which verifies the effectiveness of the control algorithm.

scholarly journals Fuzzy PIλ Position Control Method for Permanent Magnet Synchronous

2019 ◽  
Author(s):  
Chongquan Zhong ◽  
Lin Wang ◽  
Chuanfang Xu
Keyword(s):  
Fuzzy Control ◽  
Permanent Magnet ◽  
Fractional Order ◽  
Position Control ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Control Effect ◽  
Ac Servo System ◽  
Ac Servo ◽  
Fuzzy Parameter

Permanent magnet synchronous motor (PMSM) AC servo system shows the characteristics of uncertainty, time-varying and non-linearity, which makes it difficult for traditional PID control to achieve ideal control effect. Fuzzy control has strong adaptability to the problems of parameter variation, non-linearity and model inaccuracy of the controlled object. Vector control strategy is used to study its control principle and the realization of SVPWM. Because the motor object has certain fractional order characteristics, the fuzzy parameter self-tuning PIλ control is chosen as the position regulator of servo motor. It combines the accuracy of fractional order PI control and the adaptability of fuzzy control. A simulation model of PMSM three-closed-loop system is built in MATLAB/Simulink environment. The results show that the control method is effective and can satisfy the trajectory tracking of servo control.

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.

scholarly journals Robust Adaptive Fuzzy Control of Chaos in the Permanent Magnet Synchronous Motor

2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Jinpeng Yu ◽  
Junwei Gao ◽  
Yumei Ma ◽  
Haisheng Yu ◽  
Songfeng Pan
Keyword(s):  
Fuzzy Control ◽  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Reference Signal ◽  
Adaptive Fuzzy Control ◽  
Synchronous Motor ◽  
Fuzzy Logic Systems ◽  
Adaptive Fuzzy ◽  
Robust Adaptive

An adaptive fuzzy control method is developed to control chaos in the permanent magnet synchronous motor drive system via backstepping. Fuzzy logic systems are used to approximate unknown nonlinearities, and an adaptive backstepping technique is employed to construct controllers. The proposed controller can suppress the chaos of PMSM and track the reference signal successfully. The simulation results illustrate its effectiveness.

Current harmonic suppression for permanent magnet synchronous motor based on phase compensation resonant controller

2020 ◽  
pp. 107754632098246
Author(s):  
Peiling Cui ◽  
Fanjun Zheng ◽  
Xinxiu Zhou ◽  
Wensi Li
Keyword(s):  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Current Loop ◽  
Phase Lag ◽  
Phase Compensation ◽  
Current Harmonic ◽  
Resonant Controller ◽  
Harmonic Components

Permanent magnet synchronous motor always suffers from air gap field distortion and inverter nonlinearity, which lead to the harmonic components in motor currents. A resonant controller is a remarkable control method to eliminate periodic disturbance, whereas the conventional resonant controller is limited by narrow bandwidth and phase lag. This article presents a novel resonant controller with a precise phase compensation method for a permanent magnet synchronous motor to suppress the current harmonics. Based on the analysis of the current harmonic characteristics, the proposed resonant controller for rejecting a set of selected current harmonic components is plugged in the current loop, and it is parallel to the traditional proportional–integral controller. Furthermore, the stability analysis of the proposed resonant controller is investigated, and the parameters are tuned to get a satisfactory performance. Compared with the conventional resonant controller, the proposed resonant controller can achieve good steady-state performance, dynamic performance, and frequency adaptivity performance, simultaneously. Finally, the experimental results demonstrate the effectiveness of the proposed suppression scheme.

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