Improved simultaneous perturbation stochastic approximation controller for hypersonic vehicle

Aiming at the reentry control law for hypersonic vehicle, this paper proposes an online adaptive control law. The online estimation of the key parameters is based on the states of the aircraft so that the cumbersome on-line parameter adjustment process of traditional methods can be eliminated. Based on PID theory, and combined with the states of the aircraft, the design of the control law can be completed. Simultaneous perturbation stochastic approximation (SPSA) algorithm is used here to estimate the parameters of the traditional controller. At the same time, in order to meet the requirements of fast and time-varying state quantities of hypersonic vehicles, this paper improves the traditional SPSA method so as to improve the efficiency of the algorithm to a great extent. Simulation results show that the proposed algorithm is robust and can meet the control law design requirements.