Descriptor-type kalman filter and TLS EXIN speed estimate for sensorless control of a linear induction motor (Articolo in rivista)

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  • Descriptor-type kalman filter and TLS EXIN speed estimate for sensorless control of a linear induction motor (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TIA.2014.2316367 (literal)
Alternative label
  • Alonge F.; Cirrincione M.; D'Ippolito F.; Pucci M.; Sferlazza A.; Vitale G. (2014)
    Descriptor-type kalman filter and TLS EXIN speed estimate for sensorless control of a linear induction motor
    in IEEE transactions on industry applications; IEEE - Institute of Electrical and Electronics Engineers, Piscataway, N.J. (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Alonge F.; Cirrincione M.; D'Ippolito F.; Pucci M.; Sferlazza A.; Vitale G. (literal)
Pagina inizio
  • 3754 (literal)
Pagina fine
  • 3766 (literal)
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  • quartile: Q1 (literal)
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  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84913534232&partnerID=q2rCbXpz (literal)
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  • 50 (literal)
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  • 12 (literal)
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  • 6 (literal)
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  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
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  • Department of Energy Information Engineering and Mathematical Models, University of Palermo, Palermo, 90128, Italy; School of Engineering and Physics (SEP), University of the South Pacific, Laucala Campus, Suva, Fiji; University of Technology of Belfort Montbeliard, Belfort, 90400, France; Laboratoires OPERA/FCLAB FRCNRS3539, Belfort, 90010, France; Institute on Intelligent Systems for Automation, Section of Palermo, National Research Council of Italy, Palermo, 90128, Italy; Institute of Intelligent Systems for Automation, National Research Council of Italy, Palermo, 90128, Italy (literal)
Titolo
  • Descriptor-type kalman filter and TLS EXIN speed estimate for sensorless control of a linear induction motor (literal)
Abstract
  • This paper proposes a speed observer for linear induction motors (LIMs), which is composed of two parts: 1) a linear Kalman filter (KF) for the online estimation of the inductor currents and induced part flux linkage components; and 2) a speed estimator based on the total least squares (TLS) EXIN neuron. The TLS estimator receives as inputs the state variables, estimated by the KF, and provides as output the LIM linear speed, which is fed back to the KF and the control system. The KF is based on the classic space-vector model of the rotating induction machine. The end effects of the LIMs have been considered an uncertainty treated by the KF. The TLS EXIN neuron has been used to compute, in recursive form, the machine linear speed online since it is the only neural network able to solve online, in a recursive form, a TLS problem. The proposed KF TLS speed estimator has been tested experimentally on a suitably developed test setup, and it has been compared with the classic extended KF. (literal)
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