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A NEURAL FUZZY CONTROL WITH STATOR RESISTANCE ESTIMATOR FOR IM DRIVE WITH DSC
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| Author(s) |
B. Dobrucky; F. Chaloupka; P. Kucer; V. Racek |
| Abstract |
The paper deals with direct self control, a variation of field oriented control, that uses only stator resistance in its calculations making the controller less sensitive to parameter changes. Some problems emerge in the case that value of stator resistance differs from value used by controller (it is given e.g. by change in stator temperature). Therefore the stator resistance estimator was developed to match the actual machine resistance. The function of this estimator is based on difference between the actual magnitude of stator current and magnitude calculated from desired values of stator flux and electromagnetic torque. The difference between above mentioned magnitude of current replies to error in stator resistance. The stator resistance estimator is based on fuzzy set theory a neural network theory - neural fuzzy resistance estimator. The description of learning process for stator resistance estimator
is also done in the paper. |
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| Filename: | Unnamed file |
| Filesize: | 365.1 KB |
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| Type |
Members Only |
| Date |
Last modified 2018-05-16 by System |
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