Fuzzy Self-Tuning Adaptive Integral Backstepping Control for Permanent Magnet Synchronous Motor
Wang Weiran1,2, Wu Jiaxin1, Zhang Yi1, Wei Haifeng1, Ge Huilin1
1. School of Electronics and Information Jiangsu University of Science and TechnologyZhenjiang 212000 China; 2. College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 211106 China
Abstract：To improve the dynamic response of permanent magnet synchronous motor(PMSM) servo system and solve the problem of internal parameters perturbation and external load disturbance, a fuzzy self-tuning adaptive integral backstepping control method for PMSM is proposed. The dq axis current error integral terms are introduced into the control law of the adaptive backstepping controller(ABC) to form the adaptive current error integral backstepping controller(AIBC). It can track the given dq axis current accurately and improve the robustness of the dq axis current control to the internal parameter perturbation of the system. On this basis, the fuzzy reasoning module used in the AIBC is designed. According to the motor speed error and its rate of change, the system can adjust the speed feedback gain and adaptive gain online adaptively, further improving the dynamic response performance of the system. Experimental results verify the effectiveness and feasibility of the control method.
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2020, Vol. 35 
