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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 |
Issue Date: | Mar-2002 | 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. | Keywords: | ANN Brushless dc motor Finite element Nonlinear Radial basis function |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on magnetics | ISSN: | 0018-9464 | EISSN: | 1941-0069 | 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. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Journal/Magazine Article |
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| output-characteristics_02.pdf | 133.43 kB | Adobe PDF | View/Open |
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