基于遗传算法的近似直线连杆优化方法  

Generic Algorithm Based Linkage Optimization Method for Approximate Straight Line

作　　者：吴军 靳成学[2] 樊绍巍[1] 

机构地区：[1]哈尔滨工业大学机器人技术与系统国家重点实验室,黑龙江哈尔滨150001 [2]中国船舶重工集团公司第七一三研究所,河南郑州450015

出　　处：《机械与电子》2017年第12期35-38,42,共5页Machinery & Electronics

摘　　要：直线驱动是机构设计中的一个重要组成部分。提出一种基于遗传算法的近似直线连杆优化方法。首先选用经典的Watt连杆进行分析,针对连杆机构的特点,进行闭链运动学分析,得到耦合点坐标变化规律。针对高度非线性的耦合点坐标变换规律,采用源自生物进化原理的遗传算法进行连杆参数优化过程,根据需求定义目标函数和约束函数,通过随机搜索得到有效的优化结果。Linear drive is an important part of mechanical design.This paper presents an optimization method for approximate straight-line linkage based on generic algorithm.Firstly,the closed-chain kinematics analysis was carried out on the classical Watt's linkage to obtain the change rule of coordinates of the coupling point.Then,the generic algorithm based on the biological evolution principle was adopted to optimize the linkage parameters.Next,the objective function and the constraint function were defined according to the requirement.Finally,the optimization result was obtained by random searching.

关 键 词：近似直线 Watt连杆 闭链运动学 遗传算法 

分 类 号：TH112[机械工程—机械设计及理论] TH122