基于差分进化算法的飞机油量传感器布局优化方法

郑帅; 王子涵; 赵浩然; 杨朋涛; 洪军

doi:10.7527/S1000-6893.2021.25809

航空学报 >

2022 , Vol. 43 >Issue 8: 125809 - 125809

DOI: https://doi.org/10.7527/S1000-6893.2021.25809

流体力学与飞行力学

基于差分进化算法的飞机油量传感器布局优化方法

郑帅 ,
王子涵 ,
赵浩然 ,
杨朋涛 ,
洪军

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1. 西安交通大学软件学院, 西安 710049;
2. 西安沃祥航空科技有限公司, 西安 710089;
3. 西安交通大学机械工程学院, 西安 710049;
4. 西安交通大学现代设计及转子轴承系统教育部重点实验室, 西安 710049

收稿日期: 2021-05-17

修回日期: 2021-10-11

网络出版日期: 2021-10-09

基金资助

国家自然科学基金(51805411)

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

ZHENG Shuai ,
WANG Zihan ,
ZHAO Haoran ,
YANG Pengtao ,
HONG Jun

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1. School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
2. Xi'an Woxiang Aviation Science and Technology Co., Ltd., Xi'an 710089, China;
3. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
4. Key Laboratory of Ministry of Education for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an 710049, China

Received date: 2021-05-17

Revised date: 2021-10-11

Online published: 2021-10-09

Supported by

National Natural Science Foundation of China (51805411)

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摘要

针对飞机油量测量传感器布局问题,综合考虑底部不可测量油量、顶部不可测量油量、姿态误差3个指标,设计并实现了一种基于差分进化算法的飞机油量传感器多目标布局优化方法。通过建立初始传感器安装线集合将连续优化空间转换为离散优化空间,解决了安装约束问题。通过分析优化目标建立了考虑倾斜传感器的布局指标评估方法。将离散型变异算子引入标准差分进化算法,并使用NSGA-Ⅱ中的快速非支配排序、拥挤度计算策略解决传感器布局中的多目标优化问题。通过OpenMP并行计算技术优化求解速度。最后,进行了优化试验,结果表明:该方法实现了飞机油量测量传感器布局的多目标优化,且在求解质量和优化速度方面明显优于对比方法。

关键词： 飞机燃油测量; 油量传感器布局; 多目标优化; 差分进化算法; 快速非支配排序

本文引用格式

郑帅 , 王子涵 , 赵浩然 , 杨朋涛 , 洪军 . 基于差分进化算法的飞机油量传感器布局优化方法[J]. 航空学报, 2022 , 43(8) : 125809 -125809 . DOI: 10.7527/S1000-6893.2021.25809

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

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