Neuro-fuzzy controller applying to a cuk converter

L. K. Wong, Hung Fat Frank Leung, P. K S Tam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

A dc-dc power converter is difficult to control due to its non-linearities and parameter uncertainties. To tackle the problem, a neuro-fuzzy controller is proposed. The controller utilizes the error voltage and the change of error voltage as inputs, and outputs the duty cycle of the PWM switch for controlling the converter. Instead of relying on expert knowledge, some heuristic rules are derived with the membership functions of the fuzzy variables tuned by a neural network. After an off-line training, the neuro-fuzzy controller can be applied to regulate a Cuk converter. Simulation results are to be given to demonstrate the performance of the controller.
Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE
Pages446-450
Number of pages5
Publication statusPublished - 1 Dec 1995
EventProceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2) - Orlando, FL, United States
Duration: 6 Nov 199510 Nov 1995

Conference

ConferenceProceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2)
CountryUnited States
CityOrlando, FL
Period6/11/9510/11/95

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this