秦玉灵1, 韩增尧2, 邹元杰1, 王建民3. 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 DOI: 10.12126/see.2015.03.003
引用本文: 秦玉灵1, 韩增尧2, 邹元杰1, 王建民3. 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 DOI: 10.12126/see.2015.03.003
Qin Yuling1,. PSO-based satellite model updating method[J]. Spacecraft Environment Engineering, 2015, 32(3): 243-246. DOI: 10.12126/see.2015.03.003
Citation: Qin Yuling1,. PSO-based satellite model updating method[J]. Spacecraft Environment Engineering, 2015, 32(3): 243-246. DOI: 10.12126/see.2015.03.003

基于粒子群优化算法的整星有限元模型修正方法

PSO-based satellite model updating method

  • 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。

     

    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.

     

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