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SPEED AND POSITON CONTROL OF BRUSHLESS DC MACHINES EMPLOYING NEURAL NETWORKS
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| Author(s) |
J. J. Reimondez; M. I. Gimenez; V. M. Guzman; R. Moncada; J. A. Restrepo |
| Abstract |
On this work, different alternatives using Neural Networks for controlling speed and
position in brushless DC machines are studied. Neural Networks are used to implement three
control strategies: Direct identification of the plant, identification of the inverse plant and copy
of an existing controller. This work compares the efficiency and speed of each of these
strategies, to create the basis for more complex studies of Neural Networks used in Power
Electronics Systems. |
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| Filename: | Unnamed file |
| Filesize: | 524.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2016-03-21 by System |
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