Full state constraints and command filtering-based adaptive fuzzy control for permanent magnet synchronous motor stochastic systems

2021 ◽  
Vol 567 ◽  
pp. 298-311
Author(s):  
Qi Jiang ◽  
Jiapeng Liu ◽  
Jinpeng Yu ◽  
Chong Lin
Keyword(s):  
Fuzzy Control ◽  
Permanent Magnet ◽  
State Constraints ◽  
Stochastic Systems ◽  
Permanent Magnet Synchronous Motor ◽  
Adaptive Fuzzy Control ◽  
Synchronous Motor ◽  
Adaptive Fuzzy ◽  
Full State ◽  
Full State Constraints

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.

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