TY - JOUR
T1 - Real-Time Control of an IPMSM Using Model Order Reduction
AU - Farzam Far, Mehrnaz
AU - Martin, Floran
AU - Belachen, Anouar
AU - Rasilo, Paavo
AU - Awan, Hafiz Asad Ali
N1 - Funding Information:
Manuscript received November 14, 2018; revised March 14, 2019, July 11, 2019, and January 4, 2020; accepted January 25, 2020. Date of publication February 24, 2020; date of current version November 18, 2020. This work was supported in part by the Estonian Research Council, Tallinn, Estonia, under Grant PUT1260, and in part by the Academy of Finland, Helsinki, Finland, under Grant 287395 and Grant 297345. (Corresponding author: Mehrnaz Farzam Far.) Mehrnaz Farzam Far is with the Department of Electrical Engineering and Automation, Alto University, 02150 Espoo, Finland, and also with the VTT Technical Research Centre of Finland, 02044 Espoo, Finland (e-mail: mehrnaz.farzamfar@vtt.fi).
Publisher Copyright:
© 1982-2012 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021/3
Y1 - 2021/3
N2 - In the control of electric drives, inaccurate estimation of the motor parameters affects the robustness of the control. This effect is observed particularly when the linear lumped parameter-based models are employed to represent a machine composed of nonlinear magnetic materials. Finite-element (FE) models consider the material nonlinearity accurately. However, implementing these models in a real-time system is challenging due to the computational burden. In this article, we propose a fast-dynamic model, based on a model order reduction method, to control a permanent magnet synchronous machine in a wide range of speed. The stator currents in the rotor frame of reference are given as inputs to a reduced FE model, which computes the nodal values of the magnetic vector potential and thereafter the flux linkages. A discrete-time model is used to control the rotor speed and the stator current components. Experiments on a 2.2 kW interior permanent magnet synchronous machine verify the viability of the proposed model.
AB - In the control of electric drives, inaccurate estimation of the motor parameters affects the robustness of the control. This effect is observed particularly when the linear lumped parameter-based models are employed to represent a machine composed of nonlinear magnetic materials. Finite-element (FE) models consider the material nonlinearity accurately. However, implementing these models in a real-time system is challenging due to the computational burden. In this article, we propose a fast-dynamic model, based on a model order reduction method, to control a permanent magnet synchronous machine in a wide range of speed. The stator currents in the rotor frame of reference are given as inputs to a reduced FE model, which computes the nodal values of the magnetic vector potential and thereafter the flux linkages. A discrete-time model is used to control the rotor speed and the stator current components. Experiments on a 2.2 kW interior permanent magnet synchronous machine verify the viability of the proposed model.
KW - electrical machine
KW - interior permanent magnet
KW - model order reduction
KW - Orthogonal interpolation method
KW - real-time control
KW - rotor frame of reference
KW - singular value decomposition
UR - http://www.scopus.com/inward/record.url?scp=85094569242&partnerID=8YFLogxK
U2 - 10.1109/TIE.2020.2973901
DO - 10.1109/TIE.2020.2973901
M3 - Article
VL - 68
SP - 2005
EP - 2014
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
SN - 0278-0046
IS - 3
M1 - 9007620
ER -