Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloNeural sensorless control of linear induction motors by a full-order luenberger observer considering the end effects
Anno di pubblicazione2014
FormatoElettronico
Autore/iAccetta A.; Cirrincione M.; Pucci M.; Vitale G.
Affiliazioni autoriInstitute of Intelligent Systems for Automation (ISSIA-CNR), Palermo 90100, Italy; School of Engineering and Physics, University of the South Pacific, Suva, Fiji
Autori CNR e affiliazioni
  • GIANPAOLO VITALE
  • MARCELLO PUCCI
  • ANGELO ACCETTA
Lingua/e
  • inglese
AbstractThis paper proposes a neural based full-order Luenberger adaptive speed observer for sensorless linear induction motor (LIM) drives, where the linear speed is estimated with the total least squares (TLS) EXIN neuron. A novel state space-vector representation of the LIM has been deduced, taking into consideration its dynamic end effects. The state equations of the LIM have been rearranged into a matrix form to be solved, in terms of the LIM linear speed, by any least squares technique. The TLS EXIN neuron has been used to compute online, in recursive form, the machine linear speed. A new gain matrix choice of the Luenberger observer, specifically taking into consideration the LIM dynamic end effects, has been proposed, overcoming the limits of the gain matrix choice based on the rotating-induction-machine model. The proposed TLS full-order Luenberger adaptive speed observer has been tested experimentally on an experimental rig. Results have been compared with those achievable with the TLS EXIN MRAS, the classic MRAS, and the sliding-mode MRAS observers. © 2014 IEEE.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da1891
Pagine a1904
Pagine totali13
RivistaIEEE transactions on industry applications
Attiva dal 1972
Editore: Institute of Electrical and Electronic Engineers] - [New York,
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0093-9994
Titolo chiave: IEEE transactions on industry applications
Titolo proprio: IEEE transactions on industry applications.
Titolo abbreviato: IEEE trans. ind. appl.
Titoli alternativi:
  • Transactions on industry applications
  • Industry applications
Numero volume della rivista50
Fascicolo della rivista3
DOI10.1109/TIA.2013.2288429
Verificato da referee-
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-84901313822)
  • ISI Web of Science (WOS) (Codice:000338984300031)
Parole chiaveEnd effects, Linear Induction Motor (LIM), Luenberger Observer, Neural Networks, State Model, Total Least-Squares
Link (URL, URI)http://www.scopus.com/inward/record.url?eid=2-s2.0-84901313822&partnerID=q2rCbXpz
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioniquartile: Q1
Strutture CNR
  • ISSIA — ISSIA - Sede secondaria di Palermo
Moduli/Attività/Sottoprogetti CNR
  • SP.P03.011.001 : Convertitori, attuatori e azionamenti elettrici
Progetti Europei-
Allegati
Neural Sensorless Control of Linear Induction Motors by a Full-Order Luenberger Observer Considering the End Effects (documento privato )
Descrizione: This paper proposes a neural based full-order Luenberger adaptive speed observer for sensorless linear induction motor (LIM) drives, where the linear speed is estimated with the total least squares (TLS) EXIN neuron.
Tipo documento: application/pdf

Dati associati a vecchie tipologie
I dati associati a vecchie tipologie non sono modificabili, derivano dal cambiamento della tipologia di prodotto e hanno solo valore storico.
Editore
  • The Institute of Electrical and Electronics Engineers (IEEE), Piscataway (Stati Uniti d'America)