基于差分进化算法的飞机油量传感器布局优化方法

doi:10.7527/S1000-6893.2021.25809

Abstract

Abstract: A multi-objective layout optimization method of the aircraft fuel gauging sensor based on the differential evolution algorithm is designed and implemented considering the three indexes of unmeasurable fuel at the bottom, unmeasurable fuel at the top, and attitude error. An initial set of sensor installation lines is established to transform the continuous optimization space into a discrete optimization space, so that the installation constraint problem is solved. By analyzing the optimization objective, an evaluation method of the sensor layout index considering the tilt installation is established. The discrete mutation operator is introduced into the standard differential evolution algorithm, and the fast non-dominated sorting and congestion calculation strategies in NSGA-Ⅱ are used to solve the multi-objective optimization problem in the sensor layout. The computational efficiency is optimized by OpenMP. Finally, a case is studied, and the results show that the proposed method can realize multi-objective optimization of the layout of the aircraft fuel gauging sensor. Compared to conventional methods, the proposed method has significantly improved fuel gauging accuracy and also computational efficiency.

Key words: aircraft fuel gauging, fuel gauging sensor layout, multi-objective optimization, differential evolution algorithm, fast non-dominated sorting

CLC Number:

V228.1
TP29

ZHENG Shuai, WANG Zihan, ZHAO Haoran, YANG Pengtao, HONG Jun. Layout optimization method of aircraft fuel gauging sensor based on differential evolution algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(8): 125809-125809.

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Layout optimization method of aircraft fuel gauging sensor based on differential evolution algorithm

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