Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/69120
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dc.titleA universal fuzzy controller for a non-linear power electronic converter
dc.contributor.authorViswanathan, K.
dc.contributor.authorSrinivasan, D.
dc.contributor.authorOruganti, R.
dc.date.accessioned2014-06-19T02:57:02Z
dc.date.available2014-06-19T02:57:02Z
dc.date.issued2002
dc.identifier.citationViswanathan, K.,Srinivasan, D.,Oruganti, R. (2002). A universal fuzzy controller for a non-linear power electronic converter. IEEE International Conference on Fuzzy Systems 1 : 46-51. ScholarBank@NUS Repository.
dc.identifier.issn10987584
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69120
dc.description.abstractThis paper presents the development of a universal fuzzy controller for a non-linear power electronic converter. The classical boost converter used in power supplies is a minimal phase system with a right-half-plane zero. This right-half-plane zero forces the designer to go for controllers that give slow dynamics. The conventional linear PI controllers for such converters, designed under the worst case conditions of maximum load and minimum line conditions, present a lower loop bandwidth even if the operating conditions are better. Moreover, the system response is sluggish. Modern fuzzy controllers, on the other hand, can be designed to adapt to varying operating conditions for application in such nonlinear systems. This paper designs a universal fuzzy controller and compares its performance at various operating points with local PI controllers designed for the particular operating points. The settling time and overshoot for startup and step response obtained by computer simulations have been compared. The superior performance of the fuzzy controller, in particular, its ability to achieve good transient response under different operating conditions is clearly established.
dc.sourceScopus
dc.subjectBoost converter
dc.subjectDC-DC converter
dc.subjectFuzzy logic
dc.subjectRight-half-plane zero
dc.subjectSmall signal analysis
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleIEEE International Conference on Fuzzy Systems
dc.description.volume1
dc.description.page46-51
dc.description.codenPIFSF
dc.identifier.isiutNOT_IN_WOS
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