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dc.contributor.author양해원-
dc.date.accessioned2019-05-20T04:39:21Z-
dc.date.available2019-05-20T04:39:21Z-
dc.date.issued2008-07-
dc.identifier.citation2008 대한전기학회 하계학술대회 논문집, Page. 1507-1508en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE01677188-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/104733-
dc.description.abstractIn this paper, we propose a direct robust adaptive backstepping speed controller for induction motors system. A robust adaptive backstepping controller is designed using high order neural networks(HONN), which avoids the singularity problem in adaptive nonlinear control. The stability of the resulting adaptive system with proposed adaptive controller is guaranteed by suitable choosing the design parameter and initial conditions. HONN are used to approximate most of uncertainties which are derived from unknown motor parameters, load torque disturbances and unknown nonlinearities. The applicability of the proposed scheme is tested simulation.en_US
dc.language.isoko_KRen_US
dc.publisher대한전기학회en_US
dc.title고차 신경망을 이용한 유도전동기 강인 적응 속도 제어en_US
dc.title.alternativeRobust Adaptive Speed Controller for Induction Motors Using High Order Neural Networken_US
dc.typeArticleen_US
dc.contributor.googleauthor박기광-
dc.contributor.googleauthor황영호-
dc.contributor.googleauthor이은욱-
dc.contributor.googleauthor양해원-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidhwyang-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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