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

doi:10.1109/20.996265

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

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

6 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	1033-1036
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	38
Issue number	2 I
DOIs	https://doi.org/10.1109/20.996265
Publication status	Published - 1 Mar 2002

Keywords

ANN
Brushless dc motor
Finite element
Nonlinear
Radial basis function

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

More information

10.1109/20.996265

http://hdl.handle.net/10397/861

Cite this

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title = "Integrated RBF network based estimation strategy of the output characteristics of brushless DC motors",

abstract = "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.",

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AU - Ho, Siu Lau

AU - Fei, Minrui

AU - Fu, Weinong

AU - Wong, H. C.

AU - Lo, Wai Chau Edward

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AB - 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.

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KW - Nonlinear

KW - Radial basis function

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JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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