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dc.contributor.author박종현-
dc.date.accessioned2018-03-30T08:13:52Z-
dc.date.available2018-03-30T08:13:52Z-
dc.date.issued2014-05-
dc.identifier.citation2014 제29회 ICROS 학술대회, 2014, 2014(5), p.322-324en_US
dc.identifier.urihttp://www.dbpia.co.kr/Article/NODE02434807-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/54460-
dc.description.abstractIn this paper, iterative learning control(ILC) method for industrial robot manipulators that repeat same operation is proposed. ILC method is reducing tracking error by using error of previous trial, so ILC doesn't require information of robots. Performance of ILC can be, however, improved by using the information.Parameter identification(ID) is used to estimate information of robots. When doing parameter ID, robot model is linearized and data of input torque and output angle when robot tracking operation trajectory is used. Performance of the algorithm was verified by simulating 1-link manipulator with joint flexibility.en_US
dc.language.isoko_KRen_US
dc.publisher제어로봇시스템학회 / Institute of Control, Robotics and Systemsen_US
dc.subjectModel Based Iterative Learning Controlen_US
dc.subjectParameter Identificationen_US
dc.subjectLinear Matrix Inequalityen_US
dc.subjectEngineeringen_US
dc.titleModel Based Iterative Learning Control Using Parameter Identification of Model Parametersen_US
dc.title.alternative모델 정보 추정을 이용한 모델 기반 반복학습제어en_US
dc.typeArticleen_US
dc.relation.page322-324-
dc.contributor.googleauthor윤종현-
dc.contributor.googleauthor나예환-
dc.contributor.googleauthor박종현-
dc.contributor.googleauthor김필준-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF MECHANICAL ENGINEERING-
dc.identifier.pidjongpark-
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COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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