Sensorless self-commissioning of synchronous reluctance motors at standstill

Marko Hinkkanen, Paolo Pescetto, Eemeli Mölsä, Seppo E. Saarakkala, Gianmario Pellegrino, Radu Bojoi

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

6 Sitaatiot (Scopus)
264 Lataukset (Pure)

Abstrakti

This paper proposes a standstill method for identification of the magnetic model of synchronous reluctance motors (SyRMs). The saturation and cross-saturation effects are properly taken into account. The motor is fed by an inverter with a short sequence of bipolar voltage pulses that are first applied on the rotor d- and q-axes separately and then simultaneously on both the axes. The stator flux linkages are computed by integrating the induced voltages. Using the current and flux samples, the parameters of an algebraic magnetic model are estimated by means of linear least squares. The proposed method is robust against the stator resistance variations and inverter nonlinearities due to the high test voltages (of the order of the rated voltage). The fitted model matches very well with the reference saturation characteristics, measured using a constant-speed method, and enables extrapolation outside the sample range. The method was tested with a 2.2-kW SyRM, whose shaft was uncoupled from any mechanical load, which is the most demanding condition for this method. The proposed method can be used for automatic self-commissioning of sensorless SyRM drives at standstill.

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 2016 International Conference on Electrical Machines, ICEM 2016
KustantajaIEEE
Sivut1174-1180
Sivumäärä7
ISBN (elektroninen)9781509025381
DOI - pysyväislinkit
TilaJulkaistu - 4 syysk. 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Electrical Machines - Lausanne, Sveitsi
Kesto: 4 syysk. 20167 syysk. 2016
Konferenssinumero: 22
http://www.icem.cc/2016/

Conference

ConferenceInternational Conference on Electrical Machines
LyhennettäICEM
Maa/AlueSveitsi
KaupunkiLausanne
Ajanjakso04/09/201607/09/2016
www-osoite

Sormenjälki

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  • ICEM Brian Chalmers Best Paper Award

    Hinkkanen, M. (Recipient), Pescetto, P. (Recipient), Mölsä, E. (Recipient), Saarakkala, S. (Recipient), Pellegrino, G. (Recipient) & Bojoi, R. (Recipient), 7 syysk. 2016

    Palkinto: Palkinto tai huomionosoitus tuotoksesta

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