A particle swarm optimization approach for backstepping sliding mode control for flight simulator servo system

In this paper, an optimal global backstepping sliding mode controller, used for tracking the position of flight simulation turntable, is presented. In order to overcome against the parameter uncertainties and nonlinear friction compensation for the tracking position, a global backstepping sliding mode control is designed. The Lyapunov proof shows the closed-loop system in the presence of this controller global asymptotic stability. Then a novel adaptive inertia weight PSO is proposed in order to obtain the optimal parameters of the global backstepping sliding mode controller . the simulation results confirm desirable performance of the particle swarm optimization and the optimal global backstepping sliding mode control.