{"title":"Wheeled welding robot design and seam tracking simulation based on optimization models","authors":"Zhi Yang, Hao Chen, Jun Du, Liang Hua","doi":"10.1109/ICINFA.2015.7279737","DOIUrl":null,"url":null,"abstract":"Given the pose adjustment and path planning of the welding mobile robot during seam tracking process, mobile welding robot and welding torch are studied. Kinematics modeling of the mobile welding robot is established, which is constrained with the slider moving area, welding torch length and so on. And then, physical System is designed and multi-objective optimization model is presented with the aims of improving the accuracy and velocity of seam tracking. According to the characteristics of seam tracking, a genetic algorithm is designed, including coding structure definition, the initial population generation and establishing the fitness function. The simulation is studied on MATLAB and the results demonstrate the effectiveness in the velocity and accuracy.","PeriodicalId":186975,"journal":{"name":"2015 IEEE International Conference on Information and Automation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Information and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2015.7279737","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

针对移动焊接机器人在焊缝跟踪过程中的位姿调整和路径规划问题,对移动焊接机器人和焊枪进行了研究。建立了受滑块移动面积、焊枪长度等约束的移动焊接机器人运动学模型。然后,以提高焊缝跟踪的精度和速度为目标,设计了物理系统并建立了多目标优化模型。根据焊缝跟踪的特点,设计了一种遗传算法,包括编码结构的定义、初始种群的生成和适应度函数的建立。在MATLAB上进行了仿真研究,结果证明了该方法在速度和精度上的有效性。
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Wheeled welding robot design and seam tracking simulation based on optimization models
Given the pose adjustment and path planning of the welding mobile robot during seam tracking process, mobile welding robot and welding torch are studied. Kinematics modeling of the mobile welding robot is established, which is constrained with the slider moving area, welding torch length and so on. And then, physical System is designed and multi-objective optimization model is presented with the aims of improving the accuracy and velocity of seam tracking. According to the characteristics of seam tracking, a genetic algorithm is designed, including coding structure definition, the initial population generation and establishing the fitness function. The simulation is studied on MATLAB and the results demonstrate the effectiveness in the velocity and accuracy.
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