微型电脑应用2024,Vol.40Issue(4) :132-134.

双目-多运动副全向构型搬运机器人导引控制优化

Optimization of Guidance Control for Binocular Multi-motion with Omnidirectional Handling Robot

李春晖 吴志刚 翁枫 韩卫民 梁远星
微型电脑应用2024,Vol.40Issue(4) :132-134.

双目-多运动副全向构型搬运机器人导引控制优化

Optimization of Guidance Control for Binocular Multi-motion with Omnidirectional Handling Robot

李春晖 1吴志刚 1翁枫 1韩卫民 1梁远星1
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作者信息

  • 1. 广东电网有限责任公司广州供电局,广东,广州 510700
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摘要

控制与导引的协同问题在搬运机器人工作过程中经常受到关注.为此设计了一种双目-多运动副全向构型搬运机器人导引控制方法,对从协同导引控制展开全方位分析.结果表明:在直线路径上经强化学习优化后到达稳态值的收敛速度更快,有效降低稳态偏差.机器人控制优化后均方差及均值得到降低.协同路径跟踪实验纵向距离偏差结果意味着机器人间纵向距离的控制力在经强化学习后更平稳.协同导引控制有效性及可行性均可通过协同路径跟踪实验结果得到验证.该研究有助于提高搬运机器人协同工作效率,对后续的整理控制优化起到一定的理论支撑作用.

Abstract

The problem of coordination between control and guidance is often concerned in the process of handling robots.A guidance control method of binocular and multi-motion omnidirectional handling robot is designed,and a comprehensive analysis of cooperative guidance control is carried out.The results show that the convergence rate to the steady-state value is faster and the steady-state deviation is effectively reduced after the reinforcement learning optimization on the linear path.The mean square error and mean value are reduced after the optimization of the post-robot control.The results of longitudinal distance de-viation in collaborative path tracking experiments mean that the control of longitudinal distance between robots is more stable after reinforcement learning.The effectiveness and feasibility of cooperative guidance control can be verified by the experimental results of cooperative path tracking.This study is helpful to improve the cooperative working efficiency of handling robots,and plays a certain theoretical support role for the subsequent finishing control optimization.

关键词

搬运机器人/多运动副/协同运动/导引控制

Key words

handling robot/multi-motion pair/cooperative movement/guidance control

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出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
参考文献量10
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