{"title":"Dynamic hybrid position/force control of a flexible manipulator","authors":"Keping Liu, Yuan-chun Li, Jian Kang, Xiaobo Qu","doi":"10.1109/IVEC.1999.830670","DOIUrl":null,"url":null,"abstract":"In this paper, a dynamic hybrid control method is proposed for constrained flexible manipulators. Based on the assumed mode method, the authors derive the dynamical equations of a constrained two-link flexible manipulator. They then divide it into a slow subsystem and a fast subsystem via a singular perturbation method. For the slow subsystem, the authors present a hybrid position/force control method based on force feedback. For the fast subsystem, they design a controller based on optimal theory. Simulation results prove the effectiveness of this method.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVEC.1999.830670","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, a dynamic hybrid control method is proposed for constrained flexible manipulators. Based on the assumed mode method, the authors derive the dynamical equations of a constrained two-link flexible manipulator. They then divide it into a slow subsystem and a fast subsystem via a singular perturbation method. For the slow subsystem, the authors present a hybrid position/force control method based on force feedback. For the fast subsystem, they design a controller based on optimal theory. Simulation results prove the effectiveness of this method.