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Marginalized Particle Filter for Sensorless Control of PMSM Drives
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SYSNO ASEP 0383715 Druh ASEP C - Konferenční příspěvek (mezinárodní konf.) Zařazení RIV D - Článek ve sborníku Název Marginalized Particle Filter for Sensorless Control of PMSM Drives Tvůrce(i) Šmídl, Václav (UTIA-B) RID, ORCID
Peroutka, Z. (CZ)Zdroj.dok. Proceedings of the 38th Annual Conference of the IEEE Industrial Electronics Society. - Montral : IEEE Industrial Electronics Society, 2012 - ISBN 978-1-4673-2419-9 Rozsah stran s. 1-6 Poč.str. 6 s. Forma vydání Tištěná - P Akce 38th Annual Conference of the IEEE Industrial Electronics Society Datum konání 25.10.2012-28.10.2012 Místo konání Montreal Země CA - Kanada Typ akce WRD Jazyk dok. eng - angličtina Země vyd. CA - Kanada Klíč. slova particle filter ; PMSM drive ; sensorless control Vědní obor RIV JA - Elektronika a optoelektronika, elektrotechnika CEP GAP102/11/0437 GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 UT WOS 000316962901144 DOI 10.1109/IECON.2012.6388915 Anotace Marginalized particle filter is a stochastic filter combining Kalman filters with particle filters. It decomposes the model into linear and nonlinear part and applies the Kalman filter for the former and the particle filter for the latter. Its application in sensorless control of permanent magnet synchronous motor (PMSM) drives is based on separate treatment of the state variables: the rotor position is represented by a set of samples (particles), and the rotor speed is estimated by the Kalman filters associated with each sample. In effect, this allows to represent accurately the inherent non-Gaussianity and nonlinearity of the model. We show that the resulting filter is capable to estimate the rotor position in the full speed range, including the standstill. Analysis of the filter performance is presented on open-loop off-line analysis of data recorded on a drive prototype. Execution time of optimized implementation of the algorithm for six particles in DSP is comparable to that of the Extended Kalman filter for full state-space model. Closed-loop performance of the filter (a sensorless drive control) is evaluated on developed drive prototype of rated power of 10.7kW. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2013
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