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Design Optimization Of Switched Reluctance Drives Using Artificial Neural Networks
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| Author(s) |
A. Matveev; T. Undeland; R. Nilssen |
| Abstract |
The paper proposes a new method for the optimal design of switched reluctance drives. The method
utilizes Artificial Neural Networks (ANNs) to provide good initial designs as a start points for
iterative search techniques (optimization algorithms). A major advantage of the method is its quite
short response time in obtaining the optimal design. |
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| Filename: | EPE-PEMC2002 - T11-037 - Matveev.pdf |
| Filesize: | 118.5 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-05-13 by System |
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