{"title":"面向智能制造的多自由度工业机器人运动控制方法","authors":"Gu Xing","doi":"10.1109/ICID54526.2021.00009","DOIUrl":null,"url":null,"abstract":"In order to better control the motion trajectory of industrial robots with multiple degrees of freedom and avoid excessive steady-state errors in robot operation, a motion control method for industrial robots with multiple degrees of freedom for intelligent manufacturing is proposed. By optimizing the management of the multi-degree-of-freedom industrial robot control equipment structure, improving the operating efficiency of the robot, combining the principles of intelligent manufacturing, optimizing the robot electromechanical equipment and control model, and improving the robot path intelligent management algorithm. Finally, the experiment shows that the control method proposed in this paper has higher control accuracy and can effectively reduce the steady-state error of the machine, which further improves the robot motion control method.","PeriodicalId":266232,"journal":{"name":"2021 2nd International Conference on Intelligent Design (ICID)","volume":"289 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Motion control method of multi degree of freedom industrial robot for intelligent manufacturing\",\"authors\":\"Gu Xing\",\"doi\":\"10.1109/ICID54526.2021.00009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to better control the motion trajectory of industrial robots with multiple degrees of freedom and avoid excessive steady-state errors in robot operation, a motion control method for industrial robots with multiple degrees of freedom for intelligent manufacturing is proposed. By optimizing the management of the multi-degree-of-freedom industrial robot control equipment structure, improving the operating efficiency of the robot, combining the principles of intelligent manufacturing, optimizing the robot electromechanical equipment and control model, and improving the robot path intelligent management algorithm. Finally, the experiment shows that the control method proposed in this paper has higher control accuracy and can effectively reduce the steady-state error of the machine, which further improves the robot motion control method.\",\"PeriodicalId\":266232,\"journal\":{\"name\":\"2021 2nd International Conference on Intelligent Design (ICID)\",\"volume\":\"289 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Intelligent Design (ICID)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICID54526.2021.00009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Intelligent Design (ICID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICID54526.2021.00009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion control method of multi degree of freedom industrial robot for intelligent manufacturing
In order to better control the motion trajectory of industrial robots with multiple degrees of freedom and avoid excessive steady-state errors in robot operation, a motion control method for industrial robots with multiple degrees of freedom for intelligent manufacturing is proposed. By optimizing the management of the multi-degree-of-freedom industrial robot control equipment structure, improving the operating efficiency of the robot, combining the principles of intelligent manufacturing, optimizing the robot electromechanical equipment and control model, and improving the robot path intelligent management algorithm. Finally, the experiment shows that the control method proposed in this paper has higher control accuracy and can effectively reduce the steady-state error of the machine, which further improves the robot motion control method.