高超飞行器自适应动态规划的控制系统设计

Aiming at the control problem of hypersonic vehicle, a nonlinear optimal learning control method based on adaptive dynamic programming is proposed, and the speed and altitude adaptive control systems are designed. Firstly, the controller is decomposed into steady-state control term and optimal feedback control term. At the same time, the original hypersonic dynamic model is transformed into a unified error control model considering both velocity tracking error and altitude tracking error by using backstepping method. Secondly, the adaptive dynamic programming method is used to design the optimal feedback learning control law by adaptively adjusting the weights of the critic network, and the uniform ultimate boundedness of the tracking error is strictly proved by Lyapunov stability theory. Finally, mathematical simulation results verify the effectiveness of the proposed method.