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- Publisher Website: 10.1109/PEDS.1995.404900
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Conference Paper: Nonlinear identification of power electronic systems
Title | Nonlinear identification of power electronic systems |
---|---|
Authors | |
Keywords | Electronics |
Issue Date | 1995 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000574 |
Citation | Proceedings Of The International Conference On Power Electronics And Drive Systems, 1995, v. 1, p. 329-334 How to Cite? |
Abstract | This paper presents a new approach to modelling power electronic systems using nonlinear system identification. By employing the nonlinear autoregressive moving average with exogenous input (NARMAX) technique, the parametric model of power electronic systems can be derived from the time-domain data. This approach possesses some advantages over available circuit-oriented modelling approaches, such as no small-signal approximation, no circuit idealization and no detailed knowledge of system operation. Moreover, it is found that the inclusion of nonlinear terms in the model of power electronic systems is particularly necessary during the presence of large-signal perturbation. |
Persistent Identifier | http://hdl.handle.net/10722/45968 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Chau, KT | en_HK |
dc.contributor.author | Chan, CC | en_HK |
dc.date.accessioned | 2007-10-30T06:39:40Z | - |
dc.date.available | 2007-10-30T06:39:40Z | - |
dc.date.issued | 1995 | en_HK |
dc.identifier.citation | Proceedings Of The International Conference On Power Electronics And Drive Systems, 1995, v. 1, p. 329-334 | en_HK |
dc.identifier.isbn | 0-7803-2423-4 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/45968 | - |
dc.description.abstract | This paper presents a new approach to modelling power electronic systems using nonlinear system identification. By employing the nonlinear autoregressive moving average with exogenous input (NARMAX) technique, the parametric model of power electronic systems can be derived from the time-domain data. This approach possesses some advantages over available circuit-oriented modelling approaches, such as no small-signal approximation, no circuit idealization and no detailed knowledge of system operation. Moreover, it is found that the inclusion of nonlinear terms in the model of power electronic systems is particularly necessary during the presence of large-signal perturbation. | en_HK |
dc.format.extent | 351085 bytes | - |
dc.format.extent | 15593 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000574 | en_HK |
dc.relation.ispartof | Proceedings of the International Conference on Power Electronics and Drive Systems | en_HK |
dc.rights | ©1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Electronics | en_HK |
dc.title | Nonlinear identification of power electronic systems | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0-7803-2423-4&volume=1&spage=329&epage=334&date=1995&atitle=Nonlinear+identification+of+power+electronic+systems | en_HK |
dc.identifier.email | Chau, KT:ktchau@eee.hku.hk | en_HK |
dc.identifier.authority | Chau, KT=rp00096 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1109/PEDS.1995.404900 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0029228556 | en_HK |
dc.identifier.hkuros | 1717 | - |
dc.identifier.volume | 1 | en_HK |
dc.identifier.spage | 329 | en_HK |
dc.identifier.epage | 334 | en_HK |
dc.identifier.scopusauthorid | Chau, KT=7202674641 | en_HK |
dc.identifier.scopusauthorid | Chan, CC=7404813179 | en_HK |