Robust adaptive dynamic programming based attitude tracking control for hypersonic vehicle

In this paper, a robust adaptive dynamic programming (RADP) control approach based on a novel identifier-actor-critic (IAC) framework for the hypersonic vehicle (HSV) attitude tracking system with actuator saturation and disturbances is proposed. The control law is generated by the combination of the desired control law and the optimal feedback control law to track the attitude reference command. To achieve the optimal feedback control, an iterative scheme based on the IAC framework is implemented. An identifier network is constructed for approximating the attitude dynamics. The actor-critic networks are designed to approximate control policy and performance function. In addition, a nonquadratic performance function effectively solves the input-constrained problem, and the online learning controller effectively suppresses parametric uncertainties and external disturbances. Finally, the comparative simulations verify the effectiveness of the proposed controller for the HSV attitude tracking system with parametric uncertainties and external disturbances.