Probabilistic Method-Based Control Design for Attitude System of Hypersonic Vehicles

The traditional boundary-based design results in a conservative the attitude control system for the hypersonic vehicle. To address this problem, a probabilistic design-based attitude system control method is proposed in this paper. Compared with the traditional boundary-based design, the probabilistic method takes into account more aerodynamic uncertainty distribution characteristics and is more in line with practical engineering. The probabilistic method can balance the stability and performance of the system well, which can obtain the optimal design parameters that meet the requirements of the probability index. Firstly, the attitude model was established by the probability distribution method to quantify the uncertainty of aerodynamic parameters, and the PD controller was designed. Then, considering various distribution types, the probability method based on the R-F method is introduced, and sequential optimization and reliability assessment (SORA), an effective automatic optimization method of control parameters, is combined to design the optimal control parameters. Finally, the probability method is applied to the attitude control design, the design range of controller parameters satisfying the reliability index is obtained, and the Monte Carlo simulation results verify the effectiveness of the method in this paper.