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Identification of Induction Motor Parameters with Use of Neural Networks Taking into Account Main Flux Saturation Effect
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| Author(s) |
Balara D., Timko J. |
| Abstract |
A method for identification of parameters of induction motor with saturation effect taken into account is presented in this paper. Adaptive identifier with structure similar to model of motor performs identification. This identifier can be regarded as a special neural network, therefore its adaptation is based on the gradient descent method and Back-Propagation well known in the neural networks theory. Parameters of electromagnetic and mechanical subsystems were identified, including the nonlinear magnetizing curve and friction characteristic. Testing was performed with simulations taking into account noise in measured quantities. |
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| Filename: | EPE-PEMC2000 - 228 - Balara.pdf |
| Filesize: | 245.6 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-04-28 by System |
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