Derivation of fuzzy controller for DC/DC converters using neural networks

W. C. So, Chi Kong Tse

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The problem of designing fuzzy logic controllers for DC/DC converters involves determining the fuzzy rules, the associated antecedent membership functions and consequent membership functions. This paper presents a methodology of using neural networks to adjust the shapes and locations of the membership functions so that a well-trained fuzzy control rule set can be obtained. This method can eliminate heavy computation which is usually required for multivariable control.
Original languageEnglish
Pages (from-to)85-90
Number of pages6
JournalJournal of Electrical and Electronics Engineering, Australia
Volume16
Issue number2
Publication statusPublished - 1 Dec 1996

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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