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Titel: Modulation Strategies for Anisotropy-Based Position Estimation of PMSMs Using the Neutral Point Voltage
VerfasserIn: Schuhmacher, Klaus
Kleen, Stephan
May, Chris
Nienhaus, Matthias
Sprache: Englisch
Titel: IEEE Access
Bandnummer: 9
Seiten: 68445-68460
Verlag/Plattform: IEEE
Erscheinungsjahr: 2021
Freie Schlagwörter: Voltage measurement
Inductance
Estimation
Current measurement
Position measurement
Modulation
Couplings
Magnetic anisotropy
neutral point
permanent magnet machines
pulse width modulation
sensorless control
space vector modulation
star point
zero-sequence voltage
DDC-Sachgruppe: 600 Technik
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Information obtained about magnetic anisotropy via neutral point voltage measurements can be used to estimate the position of synchronous and induction machines at all speeds including standstill. Due to its usually high signal-to-noise ratio, this estimation method can be an attractive alternative to approaches that acquire anisotropy information via current measurements. The position estimation method looked at in this paper relies on anisotropy information in the form of position-dependent inductance ratios. These are obtained through measurement of the voltage between the machine’s neutral point and an artificial neutral point during the application of different voltage vectors via a two-level switching inverter. We analyze the conditions placed on and the consequences of implementing necessary modifications to a standard space vector modulation. Five different modified modulation strategies are compared and investigated, including two newly proposed strategies which use only a minimal set of active and zero voltage vectors for measurement of the inductance ratios and therefore allow high utilization of available voltage and a high update rate of the estimated position. Experimental results for three low-power threephase permanent magnet synchronous machines are presented which suggest that modulation strategies that use active measurement vectors in all three instead of only two axes of the machine are less susceptible to systematic deviations in the position estimation that presumably result from nonlinear machine properties. As part of the machine model, a normalizing inductance variation ratio is introduced, which simplifies expressions and supports the comparison of motors.
DOI der Erstveröffentlichung: 10.1109/ACCESS.2021.3077695
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-340854
hdl:20.500.11880/31348
http://dx.doi.org/10.22028/D291-34085
ISSN: 2169-3536
Datum des Eintrags: 21-Mai-2021
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Matthias Nienhaus
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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