北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (5): 1031-1037.doi: 10.13700/j.bh.1001-5965.2016.0392

• 论文 • 上一篇    下一篇

卫星天线复合材料框架的铺层优化设计

陶扬1, 王春洁1,2, 付志方1   

  1. 1. 北京航空航天大学 机械工程及自动化学院, 北京 100083;
    2. 北京航空航天大学 虚拟现实技术与系统国家重点实验室, 北京 100083
  • 收稿日期:2016-05-11 出版日期:2017-05-20 发布日期:2017-05-27
  • 通讯作者: 王春洁,E-mail:wangcj@buaa.edu.cn E-mail:wangcj@buaa.edu.cn
  • 作者简介:陶扬,男,硕士研究生。主要研究方向:数字化设计及仿真;王春洁,女,博士,教授,博士生导师。主要研究方向:数字化设计及仿真;付志方,男,博士研究生。主要研究方向:机械设计、拓扑优化。

Layup design optimization of composite frame for satellite antenna

TAO Yang1, WANG Chunjie1,2, FU Zhifang1   

  1. 1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
    2. State Key Laboratory of Virtual Reality Technology and System, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2016-05-11 Online:2017-05-20 Published:2017-05-27

摘要: 为了改善卫星天线复合材料框架的结构动力学性能,提出了一种针对卫星天线框架复合材料铺层的两阶段优化设计方法。阶段Ⅰ以各铺层的角度为设计变量进行铺层顺序优化,框架基频的最大化为优化目标,铺层数的最大值为约束条件。其中设计变量用一种多进制码来表示,并将多进制码映射为连续变量,应用粒子群优化(PSO)算法对阶段Ⅰ优化模型进行求解。在阶段Ⅰ优化结果的基础上,阶段Ⅱ主要是优化复合材料的层数,以基频最大化与质量最小化为优化目标建立多目标拓扑优化模型,应用第2代非劣排序遗传算法(NSGA-Ⅱ)进行求解。为了验证该方法的有效性,对某大型卫星天线复合材料框架进行优化设计,结果表明:该方法能有效地减小天线板复合材料框架的质量,并提高基频。

关键词: 复合材料框架, 卫星天线, 两阶段优化, 结构动力学性能, 映射

Abstract: A two-phase optimization method for layup design of composite frame for satellite antenna is introduced to improve the structural dynamics performance of the composite frame. Phase Ⅰ focused on generating a new ply layout by optimizing the ply orientation angle and stacking sequences, while the number of plies is the upper bound of the constraints. The objective of the first phase was to maximize the fundamental frequency of the frame. Design variables were n-nary codes which were mapped to continuous variables. The optimization model of phase Ⅰ was solved by the particle swarm optimization (PSO) algorithm. Phase Ⅱ aimed to reduce the number of plies for the ply layout optimized in phase Ⅰ. A multi-objective topology optimization model was built to minimize the mass of the frame and maximize the fundamental frequency. The optimization model was solved by the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ). To verify the feasibility of optimization method, the example of a frame of large satellite antenna was conducted. The result shows that the two-phase optimization can effectively reduce the mass of the frame of large satellite antenna and also improve the fundamental frequency.

Key words: composite frame, satellite antenna, two-phase optimization, structural dynamics performance, mapping

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