Particle Swarm Sliding Mode-Fuzzy PID Control Based on Maglev System

IEEE Access

Chun-Liang Zhang¹  Xin-Zhen Wu¹  Jie Xu² 

[1] College of Electrical Engineering, Qingdao University, Qingdao, China;College of National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, China;

关键词: Fuzzy PID;    magnetic levitation system;    particle swarm SMC;    supervision controller;    weaken chattering;   

DOI  :  10.1109/ACCESS.2021.3095490

来源: DOAJ

【 摘 要 】

The magnetic levitation system is a typical open-loop unstable system. To weaken the chattering phenomenon of sliding mode control (SMC), a hybrid control strategy of particle swarm sliding mode-fuzzy PID control was designed. This strategy uses particle swarm optimization (PSO) to optimize the SMC using the method of exponential approach law, so as to obtain the best sliding mode surface parameters and exponential approach rate coefficients, thus shortening the time required to approach the stable region when the nonlinear system is far from the stable point; a state supervision controller was designed by analyzing the stable conditions of sliding mode. When the system approaches the stable region, it smoothly transitions to fuzzy PID control, thereby weakening the chattering phenomenon of SMC. To verify the dynamic performance of the designed algorithm, a magnetic levitation ball system was selected as the controlled object. Through simulation and experiment, it was verified that the controller had strong robustness and strong anti-interference performance. It effectively weakened the chattering and had good adaptability to external disturbance and state variable crossing.

【 授权许可】

Unknown