高超飞行器自适应动态规划的控制系统设计

Control system design of adaptive dynamic programming for hypersonic vehicle

针对高超声速飞行器的控制问题,提出一种基于自适应动态规划的非线性优化学习控制方法,设计了速度和高度自适应控制系统。首先,将控制器分解为稳态控制项和最优反馈控制项,同时借助反步法,将原高超声速动力学模型转化为兼顾速度跟踪误差和高度跟踪误差的统一的误差控制模型。其次,利用自适应动态规划法,通过自适应调节评价网络的权值,设计最优反馈学习控制律,并通过Lyapunov稳定性理论严格证明了跟踪误差的一致最终有界性。最后,数学仿真结果验证了所提方法的有效性。

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.