Fuzzy Sliding Mode Control of Magnetic Levitation System of Controllable Excitation Linear Synchronous Motor

In order to improve the ability of magnetic levitation feed platform of controllable excitation linear synchronous motor to resist external disturbance, a sliding mode control method based on fuzzy switching gain adjustment is proposed. According to the operation mechanism of controllable excitation linear synchronous motor, the voltage equation, flux equation, magnetic levitation force equation and state equation of controllable excitation linear synchronous motor 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 saturation function instead of sign function. Fuzzy logic reasoning is used to estimate 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.