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Abstract
Eccentricity in a bearingless motor may occur during different operating states of the machine. This rises challenges in designing robust control for the machine with a lumped parameter model, due to the cross coupling of the windings with respect to the eccentric position of the rotor, the saturation of the ferromagnetic material, and spatial complexity. The non-linearity of the ferromagnetic material and the spatial harmonics can be considered in a finite element model of the machine, although applying it in a real time system is unreasonable. We propose a novel method based on orthogonal interpolation to reduce the order of the 2D finite element model of a bearingless synchronous reluctance motor, suitable for implementation in a real-time system. The winding currents and the eccentricity are given as inputs to the reduced model and the nodal values of the magnetic vector potential is obtained as the output, wherefrom the flux linkages, torque, and forces can be computed easily.
Original language | English |
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Title of host publication | Proceedings of the 2018 23rd International Conference on Electrical Machines, ICEM 2018 |
Publisher | IEEE |
Pages | 2243-2249 |
Number of pages | 7 |
ISBN (Electronic) | 9781538624777 |
DOIs | |
Publication status | Published - 24 Oct 2018 |
MoE publication type | A4 Article in a conference publication |
Event | International Conference on Electrical Machines - Ramada Plaza Thraki, Alexandroupoli, Greece Duration: 3 Sep 2018 → 6 Sep 2018 Conference number: 23 https://www.icem.cc/2018/ |
Conference
Conference | International Conference on Electrical Machines |
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Abbreviated title | ICEM |
Country/Territory | Greece |
City | Alexandroupoli |
Period | 03/09/2018 → 06/09/2018 |
Internet address |
Keywords
- Bearingless synchronous reluctance motor
- Eccentricity
- Finite element analysis
- Model order reduction
- Orthogonal interpolation method
Fingerprint
Dive into the research topics of 'Model Order Reduction of Bearingless Reluctance Motor Including Eccentricity'. Together they form a unique fingerprint.Projects
- 2 Finished
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Coupling magneto-mechanical model with manufacturing process
01/09/2016 → 31/08/2019
Project: Academy of Finland: Other research funding
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Model-Reduction and Uncertainty-Propagation in Energy Conversion Devices (More)
Belahcen, A., Farzam Far, M., Martin, F., Balasubramanian, A., Ruzibaev, A. & Sathyan, S.
01/09/2015 → 31/08/2019
Project: Academy of Finland: Other research funding