Fuzzy Sliding Mode Control of Magnetic Levitation System of Controllable Excitation Linear Synchronous Motor
Yipeng Lan, Jie Li, Fengge Zhang, Zong Ming
Abstract
In order to improve the ability of magnetic levitation feed platform of controllable excitation linear synchronous motor (CELSM) to resist external disturbance, a sliding mode control method based on fuzzy switching gain adjustment is proposed. According to the operation mechanism of CELSM, the voltage equation, flux equation, magnetic levitation force equation, and state equation of CELSM are established. The sliding mode surface is designed, and the integral term is introduced to eliminate the steady-state error of the system. The reaching law is designed to reduce chattering by using the saturation function instead of the sign function. Fuzzy logic reasoning is used to estiomate the switching gain, to cancel the unknown disturbance, and further weaken the chattering of the system. The sliding mode controller based on fuzzy switching gain adjustment is designed, and the system is simulated in MATLAB environment. The simulation results show that the fuzzy sliding mode control algorithm can improve the dynamic performance of the system and weaken chattering. The feasibility of this algorithm is proved. The experimental platform of CELSM magnetic levitation system is built to carry out partial experimental research on the magnetic levitation control system.