An adaptive control based on fuzzy hierarchical approach for the permanent magnet linear synchronous motor

In this paper, a kind of adaptive control based on fuzzy hierarchical approach for the permanent magnet linear synchronous motor (PMLSM) is proposed. According to different hierarchy of error state, one of the traditional fuzzy controller and integrator is applied. The servo control system can switch from traditional fuzzy controller to integrator smoothly when the control system is close to stable state, and the stable error will be eliminated. It is shown by results of MATLAB simulation and experiments that this control method has better static and dynamic performance than traditional fuzzy control and PID control.