{"title":"Fine motion control by making actuators sensible","authors":"H. Zhu, C. Teo, G. Hong, A. Poo","doi":"10.1109/IROS.1993.583276","DOIUrl":null,"url":null,"abstract":"The nonlinear and cross-coupled dynamics of motor-manipulator systems is studied, and a control strategy is developed for achieving ease of controller design and high control performance. By using the algorithm developed in this paper, not only can the highly complicated motor-manipulator dynamics be effectively controlled, but the motors are also made \"sensible\" for sensing and compensating for the uncertain dynamics acting at manipulator joints. Furthermore, as a significant result, the modeling difficulty and control complexity of the manipulator dynamics can be significantly reduced.","PeriodicalId":299306,"journal":{"name":"Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1993.583276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The nonlinear and cross-coupled dynamics of motor-manipulator systems is studied, and a control strategy is developed for achieving ease of controller design and high control performance. By using the algorithm developed in this paper, not only can the highly complicated motor-manipulator dynamics be effectively controlled, but the motors are also made "sensible" for sensing and compensating for the uncertain dynamics acting at manipulator joints. Furthermore, as a significant result, the modeling difficulty and control complexity of the manipulator dynamics can be significantly reduced.