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.

Backstepping Adaptive Fuzzy Control for Permanent Magnet Synchronous Motor Servo Systems

2012 ◽  
Vol 591-593 ◽  
pp. 1483-1489 ◽  
Author(s):  
Ren Hui Du ◽  
Yi Fei Wu ◽  
Wei Chen ◽  
Qing Wei Chen
Keyword(s):  
Fuzzy Control ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Tracking Error ◽  
Adaptive Fuzzy Control ◽  
Synchronous Motor ◽  
Position Tracking ◽  
Servo Systems ◽  
Nonlinear Part ◽  
Adaptive Fuzzy

An adaptive fuzzy controller based on the backstepping method is developed for permanent magnet synchronous motor (PMSM) servo systems with unknown parameters, nonlinear friction and other load torque disturbances. The adaptive fuzzy logic system is used to approximate the nonlinear part of the system online, which can eliminate the influence of uncertainties and nonlinear factors effectively and realize the high-precision position tracking. By adopting the Lyapunov method, it is proved that the position tracking error converges exponentially. Compared with the traditional backstepping adaptive control (BAC), the simulation results show that the backstepping adaptive fuzzy control (BAFC) has better robustness and accuracy.

Researching of Speed Regulation System for AC Permanent Magnet Synchronous Motor

2013 ◽  
Vol 303-306 ◽  
pp. 1204-1208 ◽  
Author(s):  
Bing Li ◽  
Yue Zhen Feng
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Regulation System ◽  
Pi Control ◽  
Adaptive Fuzzy ◽  
Speed Control System

In order to improve the speed performance of permanent magnet synchronous motor(PMSM) speed control system, and increase system reliability and adaptability, PMSM current-speed double close loop speed control system based vector control was designed. Current loop adopted traditional PI controller, speed controller adopted adaptive fuzzy PI control method which was based on traditional PI control method and fuzzy control method. Space voltage pulse width modulation (SVPWM) technology was used to control working condition of the inverter. The system simulation model was established in MATLAB/SIMULINK environment, and ran this simulation model.The simulation results show that: This system is feasible, and adaptive fuzzy PI control system has better dynamic and static characteristics than traditional PI control method.

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.

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