摘要
提出了自顶向下协同装配设计中的耦合结构参数的协同计算方法。针对耦合结构参数协同计算的模糊性和分布性,采用三角模糊数表示设计参数,通过效用函数表示设计者的设计经验和偏好;通过设计者协商建立以效用为目标的优化模型并利用遗传算法进行优化求解。在满足产品功能需求的前提下,该方法可满足分布在异地的设计者的设计经验和偏好。机械手协同装配设计的耦合结构参数协同计算实例验证了该方法的有效性。
An approach was presented for the collaborative calculation of coupled structural parameters during collaborative top--down assembly design. To meet the requirements of the collaborative calculation of coupled structural parameters which were imprecise and distributed, triangular fuzzy numbers were adopted to represent the imprecise parameters and utility functions were utilized to express the designers' preferences which reflected their knowledge and experiences. The designers collaboratively established the optimization model which took utility as the objective. Genetic algorithm was used to solve the optimization model. The approach was verified through an example of collabora- tive calculation of coupled structural parameters during the collaborative top--down design of a manipulator.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2009年第12期1484-1488,共5页
China Mechanical Engineering
基金
国家自然科学基金资助项目(60574061,60736019)
国家863高技术研究发展计划资助项目(2007AA04Z149)
关键词
自顶向下
协同装配设计
耦合结构参数
效用函数
三角模糊数
遗传算法
top-down
collaborative assembly design
coupled structural parameter
utility function
triangular fuzzy number
genetic algorithm