Neural network controller for switching power converters

Hau Chuen Chan, K. T. Chau, C. C. Chan

Research output: Journal article publicationConference articleAcademic researchpeer-review

38 Citations (Scopus)

Abstract

Since switching power converters behave highly nonlinear, conventional controllers are incapable of obtaining good dynamical performance. This paper addresses to utilize a neural netwoks as an adaptive feedforward controller as well as another neural network as an emulator for switching dc-dc converters. The simulation results show that this neural network control system can provide good dynamic responses even under high-frequency pulsed supply voltage and high-frequency pulsed reference signal.

Original languageEnglish
Pages (from-to)887-892
Number of pages6
JournalPESC Record - IEEE Annual Power Electronics Specialists Conference
Publication statusPublished - Jun 1993
EventProceedings of the 1993 IEEE 24th Annual Power Electronics Specialist Conference - Seattle, WA, USA
Duration: 20 Jun 199320 Jun 1993

ASJC Scopus subject areas

  • Modelling and Simulation
  • Condensed Matter Physics
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Neural network controller for switching power converters'. Together they form a unique fingerprint.

Cite this