Sensorless Control of Induction Motor Drives by New Linear Neural Techniques (Contributo in atti di convegno)

Type
Label
  • Sensorless Control of Induction Motor Drives by New Linear Neural Techniques (Contributo in atti di convegno) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/EPEPEMC.2006.283124 (literal)
Alternative label
  • M. Cirrincione , M. Pucci , G. Cirrincione , G. A. Capolino (2006)
    Sensorless Control of Induction Motor Drives by New Linear Neural Techniques
    in IEEE EPE-PEMC 06 (12th International Power Electronics and Motion Control Conference), Special Session IPEED (Intelligent Power Electronics and Electrical Driver, PORTOROZ (Slovenia), August 30 - September 1
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • M. Cirrincione , M. Pucci , G. Cirrincione , G. A. Capolino (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISSIA-CNR, uos di Palermo University of Belfort, France University of Picardie, France (literal)
Titolo
  • Sensorless Control of Induction Motor Drives by New Linear Neural Techniques (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4244-0120-8 (literal)
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. (literal)
Editore
Prodotto di
Autore CNR

Incoming links:


Prodotto
Autore CNR di
Editore di
data.CNR.it