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基于粒子群优化算法的整星有限元模型修正方法
引用本文:秦玉灵,韩增尧,邹元杰,王建民.基于粒子群优化算法的整星有限元模型修正方法[J].航天器环境工程,2015,32(3):243-246.
作者姓名:秦玉灵  韩增尧  邹元杰  王建民
作者单位:1. 北京空间飞行器总体设计部,北京,100094
2. 中国空间技术研究院,北京,100094
3. 北京强度环境研究所,北京,100076
基金项目:国家重点基础研究发展计划(973计划)项目
摘    要:文章介绍了一种基于粒子群优化算法的整星有限元模型修正方法,首先对整星进行了有限元建模和模态分析,并将试验和分析结果进行了相关性分析,然后引入粒子群优化算法对整星有限元模型进行修正,提高了模型分析和预示精度,为整星级有限元模型修正提供了一种新的手段。

关 键 词:有限元建模  模态分析  相关性分析  粒子群优化算法  模型修正
收稿时间:2014/10/16 0:00:00
修稿时间:2015/5/19 0:00:00

PSO-based satellite model updating method
Qin Yuling,Han Zengyao,Zou Yuanjie,Wang Jianmin.PSO-based satellite model updating method[J].Spacecraft Environment Engineering,2015,32(3):243-246.
Authors:Qin Yuling  Han Zengyao  Zou Yuanjie  Wang Jianmin
Institution:1. Beijing Institute of Spacecraft System Engineering, Beijing 100094, China;2. China Academy of Space Technology, Beijing 100094, China;3. Beijing Institute of Strength and Environment Engineering, Beijing 100076, China
Abstract:A PSO-based satellite finite element model updating method is discussed in this paper. Firstly, the finite element modeling and the modal analysis are used. Secondly, the correlation analysis is carried out between the test results and the analysis results. Thirdly, the particle swarm optimization (PSO) algorithm is used to update the satellite''s finite element model, which improves the precision of the analysis and the prediction of the satellite, thus provides a new method for the system level model updating.
Keywords:finite element modeling  modal analysis  correlation analysis  particle swarm optimization algorithm  model updating
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