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NEURAL NETWORK-BASED PARAMETER ADAPTION FOR FIELD-ORIENTED AC-DRIVES
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| Author(s) |
Wilfried Hofmann; Qinglong Liang |
| Abstract |
Modern high dynamic drive systems controlled by field-orientation require a precise modeling of the induction motor. Because of the parameter changing in reality it is necessary to analyze the model error. New ways with neural network can be adapted by the changed parameters of induction motor during the running. The training of neural network is through classified patterns by error of outputs between induction motor and computation model. The new configuration has been verified by simulation result. |
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| Filename: | Unnamed file |
| Filesize: | 287 KB |
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| Type |
Members Only |
| Date |
Last modified 2018-05-16 by System |
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