Abstract:

An adaptive dynamic surface controller design method based on disturbance compensation is proposed for the near space interceptor attitude control system with unknown disturbance, input saturation and input dead zone problem. The method actively rejects the disturbance by designing the improved nonlinear disturbance observer (NDO). The radial basis function (RBF) neural network is used to approximate the nonlinear term caused by input saturation. The unknown asymmetric dead zone boundary is derived on line estimation by the designed parameter adaptive law. The closed loop system signals are uniformly ultimately bounded which is proved by constructing the proper Lyapunov function. The simulation results show that the proposed method has good robustness and tracking ability under the action of the input nonlinearity and unknown disturbance.