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Sensor-Less Speed Control Based On Fuzzy Estimator
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| Author(s) |
J. Catala; L. Romeral; A. Arias; M. R. Chekkouri |
| Abstract |
A novel sensor-less system for induction motors is designed. This novel design is based on an adaptive
fuzzy system, which is obtained by mixing open-loop estimator response with steady-state estimator.
In order to find the best response a ponderating average system is used. The ponderated average
depends on the working point of the plant, this point is found without any further measure over the
plant. The open-loop estimator response is improved by means of using an adaptive fuzzy controlled
filter that selects the optimised cut frequency. The aim of this system is to obtain a good performance
with neither great computational charge nor mathematical noise in the estimated process. Besides, the
final system is more robust against variations of the internal parameters of the motor. The results
validate the entire work, not only in transient and steady state but also in the start-up. |
| Download |
| Filename: | EPE-PEMC2002 - T7-003 - Catala.pdf |
| Filesize: | 248.9 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-05-13 by System |
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