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Energies 2017, 10(9), 1365; doi:10.3390/en10091365

A Torque Error Compensation Algorithm for Surface Mounted Permanent Magnet Synchronous Machines with Respect to Magnet Temperature Variations

1
Department of Electrical Engineering, Kyungnam University, Changwon-si 51767, Korea
2
Department of Electrical Engineering, Chonbuk National University, Jeonju-si 54896, Korea
*
Author to whom correspondence should be addressed.
Received: 26 July 2017 / Revised: 4 September 2017 / Accepted: 6 September 2017 / Published: 8 September 2017

Abstract

This paper presents a torque error compensation algorithm for a surface mounted permanent magnet synchronous machine (SPMSM) through real time permanent magnet (PM) flux linkage estimation at various temperature conditions from medium to rated speed. As known, the PM flux linkage in SPMSMs varies with the thermal conditions. Since a maximum torque per ampere look up table, a control method used for copper loss minimization, is developed based on estimated PM flux linkage, variation of PM flux linkage results in undesired torque development of SPMSM drives. In this paper, PM flux linkage is estimated through a stator flux linkage observer and the torque error is compensated in real time using the estimated PM flux linkage. In this paper, the proposed torque error compensation algorithm is verified in simulation and experiment. View Full-Text
Keywords: surface mounted permanent magnet synchronous machine (SPMSM); flux linkage observer; permanent magnet (PM) flux linkage estimation surface mounted permanent magnet synchronous machine (SPMSM); flux linkage observer; permanent magnet (PM) flux linkage estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Park, C.-S.; Lee, J.S. A Torque Error Compensation Algorithm for Surface Mounted Permanent Magnet Synchronous Machines with Respect to Magnet Temperature Variations. Energies 2017, 10, 1365.

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