Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/861
Title: Integrated RBF network based estimation strategy of the output characteristics of brushless DC motors
Authors: Ho, Siu-lau
Fei, Minrui
Fu, Weinong
Wong, Ho-ching Chris
Lo, Edward
Subjects: ANN
Brushless dc motor
Finite element
Nonlinear
Radial basis function
Issue Date: Mar-2002
Publisher: IEEE
Source: IEEE transactions on magnetics, Mar. 2002, v. 38, no. 2, p. 1033-1036.
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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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/861
DOI: 10.1109/20.996265
ISSN: 0018-9464
Appears in Collections:EE Journal/Magazine Articles
IC Journal/Magazine Articles

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