Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박종현 | - |
dc.date.accessioned | 2018-03-30T08:13:52Z | - |
dc.date.available | 2018-03-30T08:13:52Z | - |
dc.date.issued | 2014-05 | - |
dc.identifier.citation | 2014 제29회 ICROS 학술대회, 2014, 2014(5), p.322-324 | en_US |
dc.identifier.uri | http://www.dbpia.co.kr/Article/NODE02434807 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/54460 | - |
dc.description.abstract | In 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.iso | ko_KR | en_US |
dc.publisher | 제어로봇시스템학회 / Institute of Control, Robotics and Systems | en_US |
dc.subject | Model Based Iterative Learning Control | en_US |
dc.subject | Parameter Identification | en_US |
dc.subject | Linear Matrix Inequality | en_US |
dc.subject | Engineering | en_US |
dc.title | Model Based Iterative Learning Control Using Parameter Identification of Model Parameters | en_US |
dc.title.alternative | 모델 정보 추정을 이용한 모델 기반 반복학습제어 | en_US |
dc.type | Article | en_US |
dc.relation.page | 322-324 | - |
dc.contributor.googleauthor | 윤종현 | - |
dc.contributor.googleauthor | 나예환 | - |
dc.contributor.googleauthor | 박종현 | - |
dc.contributor.googleauthor | 김필준 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | jongpark | - |
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