Direct self control of induction motor based on neural network

K. L. Shi, T. F. Chan, Y. K. Wong, Siu Lau Ho

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper presents an artificial neural network based direct self control (ANN-DSC) scheme for an inverter-fed three-phase induction motor. In order to cope with the complex calculations required in DSC, the proposed ANN system employs the individual training strategy with the fixed-weight and the supervised models. A computer simulation program is developed using Matlab/Simulink together with the Neural Network Toolbox. The simulated results obtained demonstrate the feasibility of ANN-DSC. Compared with the classical DSP-based DSC, the proposed ANN-based scheme incurs much shorter execution times and hence the errors caused by control time delays are minimized.
Original languageEnglish
Pages (from-to)1380-1387
Number of pages8
JournalConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume3
Publication statusPublished - 1 Dec 2000
Event35th IAS Annual Meeting and Wolrd Conference on Industrial Applications of Electrical Energy - Rome, Italy
Duration: 8 Oct 200012 Oct 2000

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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