RBF based discrete terminal sliding mode control for flight simulator

Abstract

A control scheme combining RBF Neural Network (RBFNN) and Discrete Sliding Mode Control (DSMC) is proposed in this paper to achieve high tracking precision for flight simulator servo systems. In this controller, the switching gain of SMC is estimated by RBF Neural Network based on Lyapunov stable theorem, thus the effect of friction and on switch chattering can be alleviated. Moreover, terminal sliding mode is realized by adding terminal function in discrete SMC derivation. With the nonlinear sliding surfaces, system states can reach the equilibrium point in a finite time period. The chattering around the sliding surface in the sliding mode control can be reduced by the proposed design approach. Simulation results are included to illustrate the effectiveness of the proposed controller.