Predictive control of a class of nonlinear systems based on fuzzy disturbance observer

This paper presents a robust predictive control law to a class of nonlinear uncertain systems. A simple predictive controller is constructed by Taylor equation, so the online optimization can be avoided. A fuzzy disturbance observer is used to estimate the unknown disturbances and uncertainties. According to the tracking error, the fuzzy system adjusts the weight parameters. Using Lyapunov theory, all signals of closed-loop system have been proven to be ultimately bounded. Finally, the proposed method is applied to the longitude flight control system of aerospace vehicle under hypersonic condition. Simulation results demonstrate the effectiveness of the method.