A 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 research

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 publication[Missing Source Name from PIRA]
PublisherIEEE
ISBN (Print)0780330269
Publication statusPublished - 1995

Keywords

  • Computer simulation
  • Control nonlinearities
  • Errors
  • Fuzzy control
  • Fuzzy sets
  • Heuristic methods
  • Knowledge based systems
  • Mathematical models
  • Membership functions
  • Power converters
  • Pulse width modulation

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