Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the 2016 International Conference on Electrical Machines, ICEM 2016 |
Publisher | IEEE |
Pages | 1174-1180 |
Number of pages | 7 |
ISBN (Electronic) | 9781509025381 |
DOIs | |
Publication status | Published - 4 Sept 2016 |
MoE publication type | A4 Conference publication |
Event | International Conference on Electrical Machines - Lausanne, Switzerland Duration: 4 Sept 2016 → 7 Sept 2016 Conference number: 22 http://www.icem.cc/2016/ |
Conference
Conference | International Conference on Electrical Machines |
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Abbreviated title | ICEM |
Country/Territory | Switzerland |
City | Lausanne |
Period | 04/09/2016 → 07/09/2016 |
Internet address |
Keywords
- Flux maps
- identification
- linear least squares (LLS)
- saturation characteristics
Fingerprint
Dive into the research topics of 'Sensorless self-commissioning of synchronous reluctance motors at standstill'. Together they form a unique fingerprint.Prizes
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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 Sept 2016
Prize: Award or honor granted for a specific work