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Structure Optimization of Captive Trajectory System Based on Multi-Objective Genetic Algorithm
Authors
刘哲
徐志刚
+3 more
王清运
白鑫林
薛全兴
Publication date
1 January 2018
Publisher
Abstract
针对国内已有的CTS系统堵塞度大、俯仰偏航角度小(精度低)的问题,设计了一种新型的CTS机构。首先对CTS系统的整体结构设计和运动原理进行了介绍。然后对俯仰机构的设计方案进行选择,在此基础上完成了转动框架的外形设计。最后基于多目标遗传算法理论和参数化建模技术,对转动框架进行了优化设计,优化后转动框架质量减小、堵塞度减小。结果表明,多目标遗传算法能通过计算在可行域内快速求出转动框架优化设计的最优解集,优化效率高、效果好,对CTS机构的进一步研发具有理论价值和工程意义,此种方法也为以后类似的结构设计和优化提供了参考
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Institutional Repository of Institute of Automation, CAS
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oai:ir.sia.cn/:173321/23661
Last time updated on 16/09/2020
Shenyang Institute of Automation,Chinese Academy Of Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:ir.sia.cn/:173321/23661
Last time updated on 03/02/2019