摘要
将射线箱零件组成制造单元,利用机器人对各个单元进行上下料,提出以速度为优化目标,将加速度,时间,位置作为约束,将有约束问题利用惩罚函数转为无约束问题,利用遗传算法搜索所有可能的制造单元最佳位置的布局,机器人运行的总速度达到最大,提高输送效率,通过实例表明,该方法有效。
Will ray box parts manufacturing unit,the use of robots to loading of each unit,put forward the opti原mization goal for speed,acceleration,time and location as constraint,using the penalty function will be con原strained problem into unconstrained problem,using genetic algorithm to search all possible to make the layout of the unit best position,the robot run total maximum speed,Improve delivery efficiency,through examples prove that this method is effective.
作者
高治理
赵铁军
王若刚
张亦平
GAO Zhi-li;ZHAO Tie-jun;WANG Ruo-gang;ZHANG Yi-ping(College of Mechanical Engineering,Shenyang University of Technology,Shenyang 110870,China;Northeastern University,Shenyang 110819,China)
出处
《装备制造技术》
2018年第1期187-190,共4页
Equipment Manufacturing Technology
关键词
遗传算法
机器人
制造单元布置
genetic algorithm
robot
manufacturing cell layout
