Guidelines for the use of different least-squares techniques to the identification of induction motors (Articolo in rivista)

Type
Label
  • Guidelines for the use of different least-squares techniques to the identification of induction motors (Articolo in rivista) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • Vittorio Cecconi, Maurizio Cirrincione, Marcello Pucci (2003)
    Guidelines for the use of different least-squares techniques to the identification of induction motors
    in Electrical engineering research report
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Vittorio Cecconi, Maurizio Cirrincione, Marcello Pucci (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 11 (literal)
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  • http://www.eerr.unina.it (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 15 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISSIA-CNR, uos di Palermo Università di Palermo (literal)
Titolo
  • Guidelines for the use of different least-squares techniques to the identification of induction motors (literal)
Abstract
  • This paper summarises the activity developed at CE.RI.S.E.P.-C.N.R. (Research Centre of Electrical Power Systems of the National Research Council) about the application of Least-Squares techniques to the on-line and off-line identification of induction motors. In particular it describes some guidelines for proper use of Ordinary Least-Squares (OLS) for on-line estimation of electrical parameters in induction motors supplied either by the grid or by a power converter in high performance adjustable speed drives. In addition it shows the application of OLS to the estimation of the electrical parameters of the induction motor at stand-still. Finally it describes the employment of a novel neuron, the TLS EXIN neuron, to the on-line estimation of the electrical parameters of the induction motor, especially in noisy environments, which is proved both theoretically and numerically. Some guidelines are also given for a proper application of Least-Squares techniques to the different cases. (literal)
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