Intelligent Robust Control for Flight Vehicles with Asynchronous Switching

Abstract

The problem of intelligent robust controller design for flight vehicles with asynchronous switching is investigated based on deep reinforcement learning. The switched model of flight vehicle in full envelope is established based on Jacobian linearization according to the nonlinear dynamic model. The asynchronous switching caused by packet loss are taken into consideration and the asynchronous dynamic model of controllers and subsystems are introduced. Then the robust controller is provided. The stability of the system is analyzed, and the sufficient conditions to ensure the stability with prescribed interference suppression index are given based on average dwell time method and multiple Lyapunov functional method. The solutions of controllers are obtained by linear matrix inequality. Moreover, the obtained controller is optimized based on deep reinforcement learning, and the dynamic response performance of the system is improved while ensuring the stability and robustness. Numerical examples in the end are given to illustrate the effectiveness of the proposed method.

Keywords

• |switching system|robust control|intelligent control|asynchronous switching|average dwell time|deep learning|flight vehicle