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dc.contributor.author양해원-
dc.date.accessioned2020-12-21T01:36:10Z-
dc.date.available2020-12-21T01:36:10Z-
dc.date.issued2003-11-
dc.identifier.citation대한전기학회 학술대회 논문집, page. 903-905en_US
dc.identifier.urihttp://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01348004?-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/156402-
dc.description.abstract본 논문에서는 인덕션 서보모터 드라이브 시스템을 제어하기 위해 고차 신경망 제어기와 보상제어기를 제시하였다. In this paper, adaptive high-order neural network controller(AHONNC) is adopted to control of an induction servomotor. A algorithm is developed by combining compensation control and high-order neural networks. Moreover, an adaptive bound esitimation algorithm was proposed to estimate the bound of approximation error. The weight of the high-order neural network can be online tuned in the sense of the Lyapunov stability theorem; thus, the stability of the closed-loop system can be guaranteed. Simulation results for induction servomotor drive system are shown to confirm the validity of the proposed controller.en_US
dc.language.isoko_KRen_US
dc.publisher대한전기학회en_US
dc.subjectHigh-Order Neural Controlen_US
dc.subjectDirect Adaptive Controlen_US
dc.subjectCompensation Controlen_US
dc.title인덕션 서보모터 드라이브 시스템의 적응 고차 신경망 제어en_US
dc.title.alternativeAdaptive High-Order Neural Network Control of Induction Servomotor Drive Systemen_US
dc.typeArticleen_US
dc.contributor.googleauthor장진혁-
dc.contributor.googleauthor박성민-
dc.contributor.googleauthor황영호-
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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