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应用模糊设计的曲柄摇杆机构遗传算法优化
Genetic Algorithm Optimization of Crank-rocker Mechanism Applying Fuzzy Design
【摘要】 在满足曲柄存在条件和传动性能要求条件下,以曲柄连杆机构已知运动规律与实际运动规律之间的偏差最小为优化目标,建立了模糊优化设计的数学模型。针对传统的优化方法寻优过程容易陷入局部最优解的问题,采用M atlab软件的遗传算法工具箱寻求问题最优解,提高了设计精度和搜索效率。
【Abstract】 By satisfying with the conditions of crank existing and transmission property,the maths model in fuzzy design optimization was set up which is to minimize the windage between movement law required and actual of crank-rocker mechanism.Aimed at the problems of low efficiency and local optimum in traditional optimization methods,Genetic Algorithm and Direct Search Toolbox of Matlab software were adopted to solve the optimization model,so that the optimization process was simplified and global optimum was(acquired) reliably.
【关键词】 曲柄连杆机构;
模糊优化设计;
遗传算法;
工具箱;
【Key words】 Crank-rocker mechanism; Fuzzy optimization design; Genetic Algorithm; Toolbox of Matlab;
【Key words】 Crank-rocker mechanism; Fuzzy optimization design; Genetic Algorithm; Toolbox of Matlab;
【基金】 江苏省自然科学基金资助项目(01KJB460010)
- 【文献出处】 机床与液压 ,Machine Tool & Hydraulics , 编辑部邮箱 ,2006年10期
- 【分类号】TH112.1
- 【被引频次】3
- 【下载频次】113