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A New Adaptive Integration Methodology for Estimating Flux in Induction Machine Drives (Articolo in rivista)
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- A New Adaptive Integration Methodology for Estimating Flux in Induction Machine Drives (Articolo in rivista) (literal)
- Anno
- 2004-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/TPEL.2003.820565 (literal)
- Alternative label
M. Cirrincione , M. Pucci , G. Cirrincione , G. A. Capolino (2004)
A New Adaptive Integration Methodology for Estimating Flux in Induction Machine Drives
in IEEE transactions on power electronics; The Institute of Electrical and Electronics Engineers (IEEE), Piscataway (Stati Uniti d'America)
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- M. Cirrincione , M. Pucci , G. Cirrincione , G. A. Capolino (literal)
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- L'articolo è pubblicato su una prestigiosa rivista internazionale con impact factor pari a 4.08 (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
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University of Amiens-France (literal)
- Titolo
- A New Adaptive Integration Methodology for Estimating Flux in Induction Machine Drives (literal)
- Abstract
- This paper proposes a simple adaptive notch filter for the elimination of the dc component in the integration of signals used for the flux estimation in high performance ac drives. This in- tegration method is composed of two identical adaptive noise can- cellers using a linear neural network with just one bias weight. Its behavior has been investigated in simulation as applied to electrical drives and compared with other four traditional integration algo- rithms. A test bench has been then developed for its experimenta- tion in a field oriented controlled induction machine. It has been verified that this integration algorithm outperforms the other al- gorithms in estimating the rotor flux even at low speeds. (literal)
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