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Article: Implementation of a decoupled optimization technique for design of switching regulators using genetic algorithms

TitleImplementation of a decoupled optimization technique for design of switching regulators using genetic algorithms
Authors
KeywordsCircuit optimization
Circuit simulation
Computer-aided design
Genetic algorithms
Power electronics
Issue Date2001
PublisherIEEE
Citation
Ieee Transactions On Power Electronics, 2001, v. 16 n. 6, p. 752-763 How to Cite?
AbstractThis paper presents an implementation of a decoupled optimization technique for design of switching regulators using genetic algorithms (GAs). The optimization process entails the selection of component values in a switching regulator, in order to meet the static and dynamic requirements. Although the proposed method inherits characteristics of evolutionary computations that involve randomness, recombination, and survival of the fittest, it does not perform a whole-circuit optimization. Thus, intensive computations that are usually found in stochastic optimization techniques can be avoided. Similar to many design approaches for power electronics circuits, a regulator is decoupled into two components, namely the power conversion stage (PCS) and the feedback network (FN). The PCS is optimized with the required static characteristics, whilst the FN is optimized with the required static and dynamic behaviors of the whole system. Systematic optimization procedures will be described and the technique is illustrated with the design of a buck regulator with overcurrent protection. The predicted results are compared with the published results available in the literature and are verified with experimental measurements.
Persistent Identifierhttp://hdl.handle.net/10722/136809
ISSN
2015 Impact Factor: 4.953
2015 SCImago Journal Rankings: 3.005
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Jen_HK
dc.contributor.authorChung, HSHen_HK
dc.contributor.authorLo, WLen_HK
dc.contributor.authorHui, SYen_HK
dc.contributor.authorWu, AKMen_HK
dc.date.accessioned2011-07-29T02:12:47Z-
dc.date.available2011-07-29T02:12:47Z-
dc.date.issued2001en_HK
dc.identifier.citationIeee Transactions On Power Electronics, 2001, v. 16 n. 6, p. 752-763en_HK
dc.identifier.issn0885-8993en_HK
dc.identifier.urihttp://hdl.handle.net/10722/136809-
dc.description.abstractThis paper presents an implementation of a decoupled optimization technique for design of switching regulators using genetic algorithms (GAs). The optimization process entails the selection of component values in a switching regulator, in order to meet the static and dynamic requirements. Although the proposed method inherits characteristics of evolutionary computations that involve randomness, recombination, and survival of the fittest, it does not perform a whole-circuit optimization. Thus, intensive computations that are usually found in stochastic optimization techniques can be avoided. Similar to many design approaches for power electronics circuits, a regulator is decoupled into two components, namely the power conversion stage (PCS) and the feedback network (FN). The PCS is optimized with the required static characteristics, whilst the FN is optimized with the required static and dynamic behaviors of the whole system. Systematic optimization procedures will be described and the technique is illustrated with the design of a buck regulator with overcurrent protection. The predicted results are compared with the published results available in the literature and are verified with experimental measurements.en_HK
dc.languageengen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Power Electronicsen_HK
dc.subjectCircuit optimizationen_HK
dc.subjectCircuit simulationen_HK
dc.subjectComputer-aided designen_HK
dc.subjectGenetic algorithmsen_HK
dc.subjectPower electronicsen_HK
dc.titleImplementation of a decoupled optimization technique for design of switching regulators using genetic algorithmsen_HK
dc.typeArticleen_HK
dc.identifier.emailHui, SY:ronhui@eee.hku.hken_HK
dc.identifier.authorityHui, SY=rp01510en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/63.974373en_HK
dc.identifier.scopuseid_2-s2.0-0035520296en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035520296&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume16en_HK
dc.identifier.issue6en_HK
dc.identifier.spage752en_HK
dc.identifier.epage763en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhang, J=35239357700en_HK
dc.identifier.scopusauthoridChung, HSH=7404007467en_HK
dc.identifier.scopusauthoridLo, WL=7201502401en_HK
dc.identifier.scopusauthoridHui, SY=7202831744en_HK
dc.identifier.scopusauthoridWu, AKM=7402998955en_HK

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