Adaptive model predictive control for hypersonic morphing vehicle

The attitude control system is affected by hypersonic morphing vehicles due to complex disturbances, unknown dynamics, and state constraints. To address these problems, an adaptive model predictive control (MPC) system is proposed in this paper. Focusing on the low aerodynamic character of traditionally combined aircraft, a hypersonic morphing waverider is designed to achieve higher flight performance, and a control-oriented model is established for attitude control. Furthermore, in order to solve the problems of state constraints, including rudder and angular velocity limits, a MPC method is used to optimize the control command online. However, a model predictive controller based on a fixed control parameter usually faces performance degradation under time-varying parameters perturbation. A proximal policy optimization (PPO) agent is designed to adaptively output control parameter online. In addition to improving control accuracy and saving computational resources, the developed controller can accomplish high performance control under aircraft state limitations. Simulation results prove the effectiveness and superiority of the method.