A mode switching control design for fast position servo systems with permanent magnet synchronous motor

Author(s):  
Guo-yang Cheng ◽  
Jin-gao Hu
2015 ◽  
Vol 30 (2) ◽  
pp. 900-908 ◽  
Author(s):  
Jin-Woo Jung ◽  
Viet Quoc Leu ◽  
Ton Duc Do ◽  
Eun-Kyung Kim ◽  
Han Ho Choi

2012 ◽  
Vol 591-593 ◽  
pp. 1483-1489 ◽  
Author(s):  
Ren Hui Du ◽  
Yi Fei Wu ◽  
Wei Chen ◽  
Qing Wei Chen

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.


2014 ◽  
Vol 1055 ◽  
pp. 328-333
Author(s):  
Ru Han Wen ◽  
Tao Lu ◽  
Fei Liu ◽  
Xiang Gao

Aiming at the anti-jamming capability problem of permanent magnet synchronous motor servo system, a fuzzy sliding mode controller is designed. The sliding mode control enhances the anti-jamming capability of the system, but it also brings chattering to the system which influences the control performance. In order to solve this problem, a fuzzy item is utilized to obtain the gain of sliding mode switching control law. Hence, the switching gain is adjusted in real time according to the sliding mode surface . The simulation results show that the system achieves good traceability and anti-jamming capability, the proposed controller has good performance and successfully solves the chattering problem.


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