基于李算法和遗传算法的飞机发动机外管自动布线研究

Qian Zhou, Yanjie Lv
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引用次数: 6

摘要

航空发动机的机匣具有旋转表面的特性,在机匣与机舱外表面之间布置了一百多根管道。对于管道走线的空间狭窄和各种约束,人工走线不仅劳动强度大,而且难以保证精度。为解决飞机发动机管道自动布线问题,提出了一种基于lee算法和遗传算法的新方法。首先建立了管道布线的三维环境,然后将lee算法与轮盘赌法相结合形成遗传算法的初始种群。种群的每条染色体代表一个可能的管道路由解决方案。其次,采用基于链表的变长编码方案进行染色体编码。基因操作包括选择、交叉和突变。本文提出了基于管道路由约束条件的适应度函数。最后,通过开发基于UG和VC的自动排管模块,验证了该方法的实用性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Based on Lee Algorithm and Genetic Algorithm of the Automatic External Pipe Routing of the Aircraft Engine
The casing of aeroengine has the characteristics of rotating surface, and more than one hundred pipes are decorated between the casing and outer surface of the nacelle. For the narrow space and various constraints of pipe routing, manual pipe routing is not only labor intensive, but also difficult to ensure the accuracy. To resolve the problem of automatic pipe routing of the aircraft engine, a novel method based on lee algorithm and genetic algorithm is proposed. Firstly, a 3D environment of pipe routing is built and then the initial population for the genetic algorithm is formed by lee algorithm combined with roulette method. Each chromosome of the population represents a possible solution of pipe routing. Secondly, a variable length coding scheme based on chain table is used for chromosome encoding. The genetic manipulation includes selection, crossover and mutation. This paper presents the fitness function based on the constraint condition of pipeline routing. Finally, the useful and feasibility of this method is developed and verified by developing an automatic pipe routing module based on UG and VC.
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