An Adaptive Fuzzy Sliding Mode Control for Networked Control Systems

For networked control systems (NCS) with nonlinear and uncertain parameters, a novel adaptive fuzzy sliding mode control method for solving the dynamic model with network-induced delay, nonlinear and uncertain parameters is proposed in this paper. According to the design of the sliding mode, the effect of network-induced delay is compensated. Then, an adaptive fuzzy system is used to approximate the strong coupling nonlinear function. Furthermore, in order to attenuate the chattering phenomena brought by the variable control, the sign function is replaced by the saturation function in the proposed control law, and the fuzzy rules are employed to gain the size of boundary layer. Finally, the proposed method is applied to the spacecraft attitude control system, and the simulation results show that high-precision attitude stabilization of spacecraft is achieved, and the system is robust against network-induced delay, system uncertainties and any outer disturbances.