首页|基于IWOA方法的工业机器人自动化取货轨迹优化

基于IWOA方法的工业机器人自动化取货轨迹优化

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为了进一步提高工业机器人取货效率,设计了一种改进鲸鱼算法(IWOA)方法,并被成功应用于取货轨迹优化方面.以时间最短为优化目标,用IWOA方法优化关节位置.研究结果表明:将每段轨迹最大时间值作为最终的设定时间,IWOA方法优化后总时间比优化前节省7.31 s.IWOA方法优化后关节位置的曲线很平滑,没有出现突变,最大限度地发挥工业机器人的运动学性能,实现平稳快速的取货运动.该方法对工业机器人移动搬货物实现时间最优控制具有借鉴意义.
Optimization of Industrial Robot Automatic Pick-Up Trajectory Based on IWOA Method
In order to further improve the pickup efficiency of industrial robots,an improved whale algorithm(IWOA)was designed and successfully applied to the pickup trajectory optimization.The IWOA method was used to optimize the joint position with the shortest time as the optimization goal.The results show that the maximum time value of each trajectory is taken as the final setting time,and the total time after optimization of IWOA method is.7.31s less than that before optimization.After the optimization of IWOA method,the curve of joint position is smooth and there is no mutation,which maximizes the kinematic performance of the industrial robot and realizes the smooth and fast pick-up movement.This method can be used as a reference for industrial robots to realize the time optimal control of moving goods.

Industrial robotdeliverytrajectory optimizationimproved whale algorithm

袁苏楠、张园园、刘保军

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河南工业职业技术学院自动化工程学院,河南 南阳 473000

南阳向东机械工业有限公司,河南 南阳 473000

中光学集团有限公司,河南 南阳 473000

工业机器人 取货 轨迹优化 改进鲸鱼算法

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(6)
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