上海交通大学学报

上海交通大学学报（自然版） ›› 2014, Vol. 48 ›› Issue (10): 1446-1450.

• 自动化技术、计算机技术 • 上一篇    下一篇

基于多目标协同优化算法的卫星结构优化设计

杨丽丽1，陈昌亚2，王德禹1   

  1. (1. 上海交通大学 海洋工程国家重点实验室，上海 200240；2. 上海卫星工程研究所，上海 200240)
  • 收稿日期:2014-01-02 出版日期:2014-10-28 发布日期:2014-10-28

Structural Optimization of Satellite Based on MultiObjective Collaborative Optimization Algorithm

YANG Lili1,CHEN Changya2,WANG Deyu1   

  1. (1.State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China;2. Shanghai Institute of Satellite Engineering, Shanghai 200240, China)
  • Received:2014-01-02 Online:2014-10-28 Published:2014-10-28

摘要：

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.
关键词：  中图分类号：  文献标志码：  A

关键词: 卫星结构优化, 协同优化, 全局多目标优化算法

Abstract:

Abstract： Aimed at the time-consuming problem of multiobjective and multiconstrained structure optimization 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objective 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.

Key words:  structural optimization of satellite, collaborative optimization, global multiobjective optimization

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