关键词: 飞行控制1, 高超声速飞行器2, 配平3, 遗传算法4, 序列二次规划5

Abstract: For solving the equilibrium of hypersonic vehicle with unstable modal, a hybrid optimization technique GA-SQP is developed. According to integral of time multiplied by the absolute value of error (ITAE) criterion, adopting chaos searching and elimination, the improved genetic algorithm (GA) is used to calculate equilibrium states, which are transformed into solving the minimum of the cost function. Furthermore, sequential quadratic programming (SQP) is introduced so as to accelerate the local optimum. Attacking angle, elevator deflection and throttle setting are obtained by steps. Based on Simulink dynamic model of the vehicle, simulation results show that the new GA-SQP algorithm, with desired steadiness, is able to determine the final solution accurately while it is not sensitive to the initial point. The algorithm of this paper provides a practical and effective method to solve the equilibrium of the complex nonlinear systems.

Key words: flight control1, hypersonic vehicle2, equilibrium3, genetic algorithm4, sequential quadratic programming5