Research on Optimization Design Method of Complex Aircraft Systems with Multiple Variables

With the continuous improvement of aircraft capability, its system becomes more and more complex, and it is more difficult to optimize the design of aircraft. There are some problems in the optimization process of aircraft systems, such as serious coupling of system variables and slow convergence of the optimization process. In this paper, a decoupling optimization method for a complex aircraft system with multiple variables is proposed, which can reduce the dimension of optimization variables and improve the speed of optimization convergence by system-by-system optimization. In the proposed optimization method, the optimization objective is to maximize the performance of the aircraft, and the range constraint and cost constraint of the aircraft are considered. The parameters of the power system, guidance system and control system of the aircraft are optimized by system-by-system iterative optimization. In this process, the estimation methods of the circular probability error (CPE) of the landing point of the aircraft and the cost of the aircraft are proposed. The simulation results show that the proposed system-by-system optimization method has faster convergence speed and better optimization results than the whole system optimization method.