Multi-objective Layout Optimization of Aircraft Multi-branch Cable Harness Based on MOPSO/D

2021 12th International Conference on Mechanical and Aerospace Engineering (ICMAE) Pub Date : 2021-07-16 DOI:10.1109/ICMAE52228.2021.9522568

Dan Zhang, Zhaochao Liu, Chengye Zhou, D. Zuo

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引用次数: 2

Abstract

The routing of multi-branch cable harness in aircraft relies heavily on manual work and experience, which is highly time-consuming. In order to realize the automatic 3D layout of multi-branch cable harness, this paper presents a novel approach by solving the layout as a multi-objective optimization problem that is NP-hard. The optimization objectives are to minimize the weight of multi-branch cables, to maximize the proportion of main roads, and to maximize the openness of the wiring path. Various regulatory and functional design rules are considered to be constraints. And the number and spatial position of branch points are taken as decision variables. As a result, a multi-objective layout optimization problem model of multi-branch cable based on Steiner tree is established. Then an improved multi-objective particle swarm optimization based on decomposition (MOPSO/D) is proposed to obtain the Pareto solution set of multi-branch cable layout. Finally, the feasibility of the proposed method is verified by the cable layout of the aircraft cabin.

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基于MOPSO/D的飞机多分支电缆线束多目标布局优化

飞机上多分支电缆线束的布线严重依赖人工操作和经验，耗时长。为了实现多分支电缆线束的自动三维布局，本文提出了一种新颖的方法，将其求解为np困难的多目标优化问题。优化目标是多支路电缆重量最小，主路比例最大化，布线路径开放性最大化。各种法规和功能设计规则被认为是约束。并以分支点的数量和空间位置作为决策变量。在此基础上，建立了基于斯坦纳树的多分支电缆多目标布局优化问题模型。在此基础上，提出了一种改进的基于分解的多目标粒子群算法(MOPSO/D)，得到了多分支电缆布放的Pareto解集。最后，通过飞机机舱的电缆布置图验证了所提方法的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 12th International Conference on Mechanical and Aerospace Engineering (ICMAE)

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