An Adaptive Speed Observer Based on a New Total Least-Squares Neuron for Induction Machine Drives (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• An Adaptive Speed Observer Based on a New Total Least-Squares Neuron for Induction Machine Drives (Articolo in rivista) (literal)

Anno

• 2006-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/TIA.2005.861282 (literal)

Alternative label

• M. Cirrincione, M. Pucci, G. Cirrincione, G. Capolino (2006)
  An Adaptive Speed Observer Based on a New Total Least-Squares Neuron for Induction Machine Drives
  in IEEE transactions on industry applications; The Institute of Electrical and Electronics Engineers (IEEE), Piscataway (Stati Uniti d'America)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• M. Cirrincione, M. Pucci, G. Cirrincione, G. Capolino (literal)

Pagina inizio

• 89 (literal)

Pagina fine

• 104 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni

• Articolo pubblicato su prestigiosa rivisa internazionale ISI con impact factor pari a 1.672 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 42 (literal)

Rivista

• IEEE transactions on industry applications (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 1 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ISSIA-CNR University of Amiens-France (literal)

Titolo

• An Adaptive Speed Observer Based on a New Total Least-Squares Neuron for Induction Machine Drives (literal)

Abstract

• This paper proposes a new observer that computes the rotor speed of an induction motor by employing on-line a least-square algorithm implemented by an original neuron (total least squares (TLS) EXIN). It minimizes the estimation error from the equation of the Luenberger observer considering the rotor flux linkage estimation uncertainty. Experimental results show the goodness of this algorithm that outperforms the Matsuse observer in speed estimation accuracy at very low speed and zero-speed operations at no-load and at load. Moreover, it has been verified both numerically and experimentally that this observer works properly even at very low speeds in regenerating mode without any instability. (literal)

Editore

• The Institute of Electrical and Electronics Engineers (IEEE) (Editore)

Prodotto di

• Convertitori, attuatori e azionamenti elettrici (SP.P03.011.001) (Modulo)
• Institute of intelligent systems for automation (ISSIA) (Istituto)

Autore CNR

• MARCELLO PUCCI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "An Adaptive Speed Observer Based on a New Total Least-Squares Neuron for Induction Machine Drives" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Convertitori, attuatori e azionamenti elettrici (SP.P03.011.001) (Modulo)

Autore CNR di

• MARCELLO PUCCI (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• IEEE transactions on industry applications (Rivista)

Editore di

• The Institute of Electrical and Electronics Engineers (IEEE) (Editore)

Insieme di parole chiave di

• Parole chiave di "An Adaptive Speed Observer Based on a New Total Least-Squares Neuron for Induction Machine Drives" (Insieme di parole chiave)