Performance prediction of switched reluctance motor using improved generalized regression neural networks for design optimization
Since practical mathematical model for the design optimization of switched reluctance motor (SRM) is difficult to derive because of the strong nonlinearity, precise prediction of electromagnetic characteristics is of great importance during the optimization procedure. In this paper, an improved gene...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
China Electrotechnical Society
2018-12-01
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| Series: | CES Transactions on Electrical Machines and Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8598255 |