Integrated RBF network based estimation strategy of the output characteristics of brushless DC motors

Siu Lau Ho, Minrui Fei, Weinong Fu, H. C. Wong, Wai Chau Edward Lo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)


The circuit-field coupled model is very accurate but it is computationally inefficient in studying the output performance of brushless dc motors. In order to resolve the problem, an estimation strategy based on an integrated radial basis function (RBF) network is proposed in this paper. The strategy introduces new conceptions of the network group that are being realized by three steps, namely: 1) an adaptive RBF network is proposed for modeling the center network; 2) the RBF network group is then used to build the base networks; and 3) an integrated RBF network based on the base network group is used subsequently to predict the non-trained output characteristics of the brushless dc motor.
Original languageEnglish
Pages (from-to)1033-1036
Number of pages4
JournalIEEE Transactions on Magnetics
Issue number2 I
Publication statusPublished - 1 Mar 2002


  • ANN
  • Brushless dc motor
  • Finite element
  • Nonlinear
  • Radial basis function

ASJC Scopus subject areas

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

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