An optimization method for metamorphic mechanisms based on multidisciplinary design optimization

被引:0
|
作者
Zhang Wuxiang [1 ,2 ]
Wu Teng [2 ]
Ding Xilun [2 ]
机构
[1] State Key Laboratory of Robotics and System, Harbin Institute of Technology
[2] Institute of Robotics, Beihang University
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
Configuration; Mechanism; Metamorphic mechanisms; Method; Multidisciplinary design optimization; Optimization model;
D O I
暂无
中图分类号
TP242 [机器人];
学科分类号
1111 ;
摘要
The optimization of metamorphic mechanisms is different from that of the conventional mechanisms for its characteristics of multi-configuration. There exist complex coupled design variables and constraints in its multiple different configuration optimization models. To achieve the compatible optimized results of these coupled design variables, an optimization method for metamorphic mechanisms is developed in the paper based on the principle of multidisciplinary design optimization(MDO). Firstly, the optimization characteristics of the metamorphic mechanism are summarized distinctly by proposing the classification of design variables and constraints as well as coupling interactions among its different configuration optimization models. Further, collaborative optimization technique which is used in MDO is adopted for achieving the overall optimization performance. The whole optimization process is then proposed by constructing a two-level hierarchical scheme with global optimizer and configuration optimizer loops. The method is demonstrated by optimizing a planar five-bar metamorphic mechanism which has two configurations,and results show that it can achieve coordinated optimization results for the same parameters in different configuration optimization models.
引用
收藏
页码:1612 / 1618
页数:7
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