Backstepping Adaptive Fuzzy Control for Permanent Magnet Synchronous Motor Servo Systems
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.
Permanent magnet synchronous motor Position tracking Fuzzy approximation system Backstepping adaptive control
Ren Hui Du Yi Fei Wu Wei Chen Qing Wei Chen
School of Automation,Nanjing University of Science and Teleology,Nanjing,China
国际会议
广州
英文
1483-1489
2012-11-16(万方平台首次上网日期,不代表论文的发表时间)