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, SL 
Fei, M
Fu, W 
Wong, HCC
Lo, E 
Keywords: 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 How to cite?
Journal: IEEE transactions on magnetics 
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.
URI: http://hdl.handle.net/10397/861
ISSN: 0018-9464
DOI: 10.1109/20.996265
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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