TY - GEN
T1 - Research on Optimization Design Method of Complex Aircraft Systems with Multiple Variables
AU - Wei, Wenshu
AU - Yan, Peng
AU - Zheng, Hongxing
AU - Bai, Chengchao
N1 - Publisher Copyright:
© Beijing HIWING Scientific and Technological Information Institute 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Complex Aircraft System
KW - Multiple Variables
KW - Optimization Method
UR - https://www.scopus.com/pages/publications/85192570466
U2 - 10.1007/978-981-97-1107-9_30
DO - 10.1007/978-981-97-1107-9_30
M3 - 会议稿件
AN - SCOPUS:85192570466
SN - 9789819711062
T3 - Lecture Notes in Electrical Engineering
SP - 328
EP - 336
BT - Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) - Volume I
A2 - Qu, Yi
A2 - Gu, Mancang
A2 - Niu, Yifeng
A2 - Fu, Wenxing
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023
Y2 - 9 September 2023 through 11 September 2023
ER -