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基于多目标协同优化算法的卫星结构优化设计 被引量:7

Structural Optimization of Satellite Based on Multi-Objective Collaborative Optimization Algorithm
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摘要 针对卫星系统中多目标、多约束、耗时的结构优化问题,建立了卫星结构的多目标协同优化模型.将协同优化方法与全局多目标优化算法相结合,并针对协同优化方法的缺陷采取一些改进措施,提出了协同优化方法与全局多目标优化算法(CO-PE)组合优化方法.以某卫星结构多目标优化问题为例,在iSIGHT优化软件中对卫星结构进行多目标协同优化设计,通过CO-PE组合优化方法获取Pareto最优解集.优化结果表明,多目标协同优化模型能够简化优化问题的复杂度,基于近似模型的CO-PE组合优化方法具有较好的准确性和高效性,对实际工程中类似的复杂结构优化问题具有一定的参考价值. Aimed at the time-consuming problem of multi-objective and multi-constrained structure optimi- zation of satellite system, a multi-objective collaborative optimization model was proposed for satellite structure. A CO-PE(collaboartive optimization and parto explorer) combinatorial optimization method was presented by combining collaborative optimization with the global multi-objective optimization algorithm, and taking some improvement measures in view of the defects of collaborative optimization. The multi ob- jective optimization of a satellite was taken as an example, where iSIGHT was used to conduct the multi objective optimization of satellite structure. Then, the Pareto optimal set was obtained by adopting CO- PE. The results show that the multi-objective collaborative optimization model can simplify the complexity of optimization problem, and the CO-PE combinatorial optimization method based on the approximation model has good accuracy and efficiency. This method provides a certain reference value for similar complex structure optimization problem.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2014年第10期1446-1450,共5页 Journal of Shanghai Jiaotong University
关键词 卫星结构优化 协同优化 全局多目标优化算法 structural optimization of satellite collaborative optimization global multi-objective optimization algorithm
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