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Article: Stability analysis of fuzzy-model-based control systems: Application on regulation of switching DC-DC converter

TitleStability analysis of fuzzy-model-based control systems: Application on regulation of switching DC-DC converter
Authors
Issue Date2009
PublisherThe Institution of Engineering and Technology. The Journal's web site is located at http://www.ietdl.org/IP-CTA
Citation
Iet Control Theory And Applications, 2009, v. 3 n. 8, p. 1093-1106 How to Cite?
AbstractThis study presents a non-linear design methodology for fuzzy controllers employed in switching DC-DC converters that operates in large-signal domain. Unlike conventional controller design approach, which addresses only the small-signal system stability, the proposed design methodology tackles the design using a non-linear control viewpoint. The proposed approach uses a Tagaki-Sugeno (T-S) fuzzy model to represent the switching converter. The Lyapunov theory is then adopted to derive the sufficient stability conditions in terms of linear matrix inequalities. These inequalities are then employed for the design of a large-signal stable fuzzy controller. Worth mentioning is that the consideration of the circuit parameter uncertainty and the mismatch of the fuzzy membership functions in the proposed approach, greatly complicate the stability analysis, which leads to a conservative result. To alleviate the conservativeness, a membership-function condition is proposed to guide the design of the membership functions of the fuzzy controller. Furthermore, free matrices can be introduced to further relax the conservativeness of stability analysis result. Simulation results on the regulation of a boost DC-DC converter subject to load and input voltage disturbances, using the proposed fuzzy controller are provided to illustrate the effectiveness of the proposed approach. © The Institution of Engineering and Technology 2009.
Persistent Identifierhttp://hdl.handle.net/10722/148899
ISSN
2015 Impact Factor: 1.957
2015 SCImago Journal Rankings: 1.467
ISI Accession Number ID
Funding AgencyGrant Number
King's College London
The Hong Kong Polytechnic University
Funding Information:

The work described in this paper was supported by King's College London and The Hong Kong Polytechnic University.

References

 

DC FieldValueLanguage
dc.contributor.authorLam, HKen_HK
dc.contributor.authorTan, SCen_HK
dc.date.accessioned2012-06-20T06:16:11Z-
dc.date.available2012-06-20T06:16:11Z-
dc.date.issued2009en_HK
dc.identifier.citationIet Control Theory And Applications, 2009, v. 3 n. 8, p. 1093-1106en_HK
dc.identifier.issn1751-8644en_HK
dc.identifier.urihttp://hdl.handle.net/10722/148899-
dc.description.abstractThis study presents a non-linear design methodology for fuzzy controllers employed in switching DC-DC converters that operates in large-signal domain. Unlike conventional controller design approach, which addresses only the small-signal system stability, the proposed design methodology tackles the design using a non-linear control viewpoint. The proposed approach uses a Tagaki-Sugeno (T-S) fuzzy model to represent the switching converter. The Lyapunov theory is then adopted to derive the sufficient stability conditions in terms of linear matrix inequalities. These inequalities are then employed for the design of a large-signal stable fuzzy controller. Worth mentioning is that the consideration of the circuit parameter uncertainty and the mismatch of the fuzzy membership functions in the proposed approach, greatly complicate the stability analysis, which leads to a conservative result. To alleviate the conservativeness, a membership-function condition is proposed to guide the design of the membership functions of the fuzzy controller. Furthermore, free matrices can be introduced to further relax the conservativeness of stability analysis result. Simulation results on the regulation of a boost DC-DC converter subject to load and input voltage disturbances, using the proposed fuzzy controller are provided to illustrate the effectiveness of the proposed approach. © The Institution of Engineering and Technology 2009.en_HK
dc.languageengen_US
dc.publisherThe Institution of Engineering and Technology. The Journal's web site is located at http://www.ietdl.org/IP-CTAen_HK
dc.relation.ispartofIET Control Theory and Applicationsen_HK
dc.titleStability analysis of fuzzy-model-based control systems: Application on regulation of switching DC-DC converteren_HK
dc.typeArticleen_HK
dc.identifier.emailTan, SC:sctan@hku.hken_HK
dc.identifier.authorityTan, SC=rp01606en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1049/iet-cta.2008.0168en_HK
dc.identifier.scopuseid_2-s2.0-68849110721en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-68849110721&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume3en_HK
dc.identifier.issue8en_HK
dc.identifier.spage1093en_HK
dc.identifier.epage1106en_HK
dc.identifier.isiWOS:000268399700012-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLam, HK=7202775019en_HK
dc.identifier.scopusauthoridTan, SC=26642772000en_HK

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