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RV减速器单目标及多目标优化
引用本文:朱梦,张方,秦远田,蒋祺,郑美珠.RV减速器单目标及多目标优化[J].国外电子测量技术,2017,36(11):7-10.
作者姓名:朱梦  张方  秦远田  蒋祺  郑美珠
作者单位:机械结构力学及控制国家重点实验室 南京 210001,机械结构力学及控制国家重点实验室 南京 210001,机械结构力学及控制国家重点实验室 南京 210001,机械结构力学及控制国家重点实验室 南京 210001,昆山光腾智能机械有限公司 昆山 215300
基金项目:国家自然科学基金(51305197)、机械结构力学及控制国家重点实验室(南京航空航天大学)自主研究课题(0115K01)项目资助
摘    要:虽然RV减速器具有体积小、重量轻、传动平稳、寿命长、传动效率高等一系列优点,但是摆线盘和针齿啮合时的接触应力比较大,磨损情况严重。为了优化结构的接触特性以及质量,以针轮的分布圆半径、短幅系数、针齿半径、摆线盘厚度为优化变量,分别以最大接触应力、质量最小化为优化目标,分别采用遗传算法和fmincon非线性优化方法进行优化。两种优化方法得到的结果比较一致,且都有比较明显的优化效果,但是造成另外一个优化目标的增大。为了使两个优化目标都得到比较良好的优化效果,采用fgoalattain多目标算法进行多目标优化。

关 键 词:接触特性    质量    单目标优化    多目标优化

Single objective and multi objective optimization of RV reducer
Zhu Meng,Zhang Fang,Qin Yuantian,Jiang Qi and Zheng Meizhu.Single objective and multi objective optimization of RV reducer[J].Foreign Electronic Measurement Technology,2017,36(11):7-10.
Authors:Zhu Meng  Zhang Fang  Qin Yuantian  Jiang Qi and Zheng Meizhu
Affiliation:State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing 210001, China,State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing 210001, China,State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing 210001, China,State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing 210001, China and Kunshan Quanta Machinery Co.,Ltd., Kunshan 215300, China
Abstract:Although the RV reducer has a series of advantages,such as small size, light weight, stable transmission, long life and high transmission efficiency, but the contact stress between the cycloid and the gear teeth is relatively large and the wear is serious. In order to optimize the structure, the maximum contact stress and the quality is considered as the goal of optimization to reach a small magnitude, with the distribution radius of wheel, short width coefficient, radius of the pin wheel, thickness of cycloid pin gear as optimization variable. Two methods, the genetic algorithm and fmincon nonlinear optimization method, are used. The results obtained by the two optimization methods are consistent, and both have obvious optimization effects, but they lead to the increase of another optimization objective. In order to make the two optimization objectives get better optimization results both, fgoalattain multi objective algorithm is used to optimize the multi objective.
Keywords:contact characteristics  quality  single objective optimization  multi objective optimization
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