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Neural network control of DC-DC static converters
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| Author(s) |
J-N. Marie-Françoise; H. Gualous; A. Berthon |
| Abstract |
Automotive application will use in the future different kinds of sources to provide energy or to store energy: fuel cells, batteries, ultra capacitors. DC-DC converters are needed to connect these voltage sources to a common DC bus. Electrical energy dispatching is a critical way to optimize the system. This study proposes artificial neural network as a good approach to control a boost DC-DC converter. A Levenberg-Marquardt learning algorithm is employed for adjustment of the network weights and bias. The artificial neural network (ANN) is training by the hypothesis model NARX. |
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| Filename: | EPE2003-PP0443 - Marie-Francoise |
| Filesize: | 331.3 KB |
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| Type |
Members Only |
| Date |
Last modified 2003-10-14 by Unknown |
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