Predictive Functional Control Based on Sliding Mode Observer for Linear Motor Speed System

A hybrid control method based on sliding mode observer and predictive functional control is proposed to improve the performance of the linear motor servo system, which is usually characterized by nonlinearity, uncertainty and disturbances. Firstly, the mathematical model of linear motor servo system is established. Then, the sliding mode observer is designed to compensate for the parameter changes and external disturbances, and the disturbance information is fed back to the predictive function controller, and a prediction model with disturbances is established, so as to optimize the control method and improve the control effect of servo system. The simulation results show that the controller based on the sliding mode observer and predictive functional controller can effectively suppress the disturbances and improve the rapid response and steady-state accuracy of the system. As the controller shows strong robustness and anti-disturbance, it can be used to effectively control the servo systems.