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Sensorless Control of Induction Motor Drives by New Linear Neural Techniques
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| Author(s) |
Maurizio Cirrincione, Marcello Pucci, Giansalvo Cirrincione, Gerard-Andre Capolino |
| Abstract |
This paper summarizes the research activity of
the authors in the field of sensorless control of induction
machine drives based on new linear neural techniques. In
particular it describes and compares three speed observers:
the MCA EXIN + MRAS Observer, the MCA EXIN +
Reduced Order Observer and the TLS Full-order
Luenberger Adaptive Observer. Common to all of three
observers is the on-line estimation of the speed by a new
linear neural technique, which solves in a recursive way a
Total Least-Squares problem: one of them employs the TLS
EXIN neuron and the other two the MCA EXIN + neuron,
which is an improvement of the former. The speed observers
have been verified in numerical simulations and
experimentally on a test setup and have been also compared
experimentally with one another. |
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| Filename: | T16-202.pdf |
| Filesize: | 317 KB |
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| Type |
Members Only |
| Date |
Last modified 2007-03-08 by System |
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