基于多目标遗传算法的摆线液压马达摆线副基本参数优化  

Optimization of the Basic Parameters of GEROTOR of Hydraulic Motor Based on MOGA

作　　者：吴方文[1] 周燕飞[1] 牛德奎[1] 王小博[1] 王兆华[1] 

机构地区：[1]南京航空航天大学机电学院,江苏南京210016

出　　处：《机械与电子》2016年第10期13-15,18,共4页Machinery & Electronics

摘　　要：针对摆线马达摆线副基本参数优化问题,提出了基于多目标遗传算法的优化方法。并根据模糊隶属度函数从Pareto最优解集中选取最优折衷解作为摆线马达摆线副基本尺寸参数。结果表明,该方法能使马达排量提高21.14%,流量脉动率降22.6%。A method based on MOGA is proposed to solve the problem of the optimization for the basic parameters of the GEROTOR of hydraulic motor.And according to the fuzzy membership function,the optimal solution is selected from the Pareto optimal solution to be the basic parameters of the GEROTOR.The results show that the displacement of the motor is increased by 21.14%,and the flow pulsation rate is reduced by 22.6% with this method.

关 键 词：摆线液压马达 摆线副 排量 流量脉动率 多目标遗传算法 PARETO解集 

分 类 号：TH137.51[机械工程—机械制造及自动化]