基于遗传算法的摆线钢球行星减速器优化设计  

The Optimization Design of the Cycloid Ball Planetary Transmission Based on Inheritance Algorithm

作　　者：王立星[1] 朱俊平[1] 秦贞沛[1] 戚烈[1] 

机构地区：[1]西北农林科技大学机械与电子工程学院,陕西杨凌712100

出　　处：《农机化研究》2011年第4期33-35,42,共4页Journal of Agricultural Mechanization Research

基　　金：陕西省科技攻关项目(2003K03-G9-01)

摘　　要：提高效率、减少能源及材料消耗是现代社会机械设计的主旋律。为此,对摆线钢球行星减速器的效率及体积优化予以研究,提供理论依据,建立了体积和效率的多目标优化数学模型,并对分目标函数权重系数进行归一化处理,利用Matlab遗传算法工具箱进行优化计算。经过多次优化计算,取得优化参数及其体积和效率值。结果表明:构建在Matlab遗传算法工具箱基础之上的机械优化设计,其优化效果显著,操作方便。This thesis based on the Nature biological evolution theory, and we researched on the efficiency and the volume of the cycloid ball planetary reducer. Firstly, have built volume and efficiency multiple targets optimization mathematic model, and unified the order of magnitude of the two target functions, and then carries on the optimized computation using the Matlab genetic algorithm toolbox. By many times optimize calculation, we got the parameters and the values of the volume and the efficiency, effect is fine. Have verified the mechanical optimum design which is based on the Matlab genetic algorithm toolbox is very convenient and the Optimization result is notable.

关 键 词：摆线减速器 遗传算法 MATLAB工具箱 多目标优化 

分 类 号：S220.2[农业科学—农业机械化工程]