Abstract
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.
| Translated title of the contribution | Control system design of adaptive dynamic programming for hypersonic vehicle |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 1628-1635 |
| Number of pages | 8 |
| Journal | Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics |
| Volume | 43 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2021 |