Sensorless Control of PMSM Fractional Horsepower Drives by Signal Injection and Neural Adaptive-Band Filtering (Articolo in rivista)

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  • Sensorless Control of PMSM Fractional Horsepower Drives by Signal Injection and Neural Adaptive-Band Filtering (Articolo in rivista) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TIE.2011.2167729 (literal)
Alternative label
  • Accetta Angelo, Cirrincione Maurizio, Pucci Marcello, Vitale Gianpaolo. (2012)
    Sensorless Control of PMSM Fractional Horsepower Drives by Signal Injection and Neural Adaptive-Band Filtering
    in IEEE transactions on industrial electronics (1982. Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Accetta Angelo, Cirrincione Maurizio, Pucci Marcello, Vitale Gianpaolo. (literal)
Pagina inizio
  • 1355 (literal)
Pagina fine
  • 1366 (literal)
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  • quartile: Q1 (literal)
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  • http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6017112 (literal)
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  • 59 (literal)
Rivista
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  • 12 (literal)
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  • 3 (literal)
Note
  • Scopus (literal)
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  • Accetta Angelo: ISSIA - UOS di Palermo Cirrimcione Maurizio University of Technology of Belfort-Montbéliard, 90010 Belfort, France (e-mail: Maurizio.Cirrincione@utbm.fr). (literal)
Titolo
  • Sensorless Control of PMSM Fractional Horsepower Drives by Signal Injection and Neural Adaptive-Band Filtering (literal)
Abstract
  • This paper presents a sensorless technique for permanent-magnet synchronous motors (PMSMs) based on highfrequency pulsating voltage injection. Starting from a speed estimation scheme well known in the literature, this paper proposes the adoption of a neural network (NN) based adaptive variable-band filter instead of a fixed-bandwidth filter, needed for catching the speed information from the sidebands of the stator current. The proposed NN filter is based on a linear NN adaptive linear neuron (ADALINE), trained with a classic least mean squares (LMS) algorithm, and is twice adaptive. From one side, it is adaptive in the sense that its weights are adapted online recursively. From another side, its bandwidth is made adaptive during the running of the drive, acting directly on the learning rate of the NN filter itself. The immediate consequence of adopting a variable-band structure is the possibility to enlarge significantly the working speed range of the sensorless drive, which can be increased by a factor of five. The proposed observer has been tested experimentally on a fractional horsepower PMSM drive and has been compared also with a fixed-bandwidth structure. (literal)
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