Fuzzy Sliding Mode Control Based On Particle Swarm Optimization

Based on particle swarm optimization,a new design method of fuzzy sliding mode controller is proposed for a class of uncertain nonlinear system.The fuzzy control and sliding mode control is incorporated in this scheme.The tracking error is driven into given boundary layer by the sliding mode control,and then the fuzzy control is adopted of the switch control.At the same time,in order to ensure the global stability of fuzzy sliding mode control system,we use supervise controller to smooth the control input.Finally the sliding surface coefficient and the factor of uneven membership function based on soothes method not only speeds up to reach the sliding surface,reduces the steady-state error,but also eliminates the high frequency chattering effectively.The simulation results show the effectiveness of the method.