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Sensorless vector controlled induction motor drive employing an ANN.
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| Author(s) |
J. A. Campbell; M. Sumner |
| Abstract |
This paper describes a novel high performance sensorless vector controlled induction motor drive.
Sensorless speed control is achieved using a Model Reference Adaptive System which employs a
Closed Loop Flux Observer for field orientation. To improve low speed operation the system uses an
Artificial Neural Network to estimate changes in the stator resistance. This ensures correct orientation
and speed estimation, with distinct improvements to drive stability, especially when the resistive
voltage drops become significant at lower speeds. Experimental results are presented to verify this. |
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| Filename: | EPE2001 - PP00917 - Campbell.pdf |
| Filesize: | 102.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-03-11 by System |
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