Adaptive Torque Estimation for an IPMSM with Cross-Coupling and Parameter VariationsReport as inadecuate


Adaptive Torque Estimation for an IPMSM with Cross-Coupling and Parameter Variations


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1

Center, Dongwoon Anatech Co. Ltd., Seoul 05029, Korea

2

Department of Electrical Engineering, Konkuk University, Seoul 05029, Korea

3

Department of Energy Mechanical Engineering, Gyeonggi College of Science and Technology, Gyeonggi 15073, Korea

4

Department of Creative IT Engineering, Phohang University of Science and Technology, Gyeongbuk 37673, Korea





*

Author to whom correspondence should be addressed.



Abstract This paper presents a new adaptive torque estimation algorithm for an interior permanent magnet synchronous motor IPMSM with parameter variations and cross-coupling between d- and q-axis dynamics. All cross-coupled, time-varying, or uncertain terms that are not part of the nominal flux equations are included in two equivalent mutual inductances, which are described using the equivalent d- and q-axis back electromotive forces EMFs. The proposed algorithm estimates the equivalent d- and q-axis back EMFs in a recursive and stability-guaranteed manner, in order to compute the equivalent mutual inductances between the d- and q-axes. Then, it provides a more accurate and adaptive torque equation by adding the correction terms obtained from the computed equivalent mutual inductances. Simulations and experiments demonstrate that torque estimation errors are remarkably reduced by capturing and compensating for the inherent cross-coupling effects and parameter variations adaptively, using the proposed algorithm. View Full-Text

Keywords: adaptive torque estimation; interior permanent magnet synchronous motor IPMSM; parameter variations; cross-coupling; equivalent mutual inductance; equivalent back electromotive forces EMF adaptive torque estimation; interior permanent magnet synchronous motor IPMSM; parameter variations; cross-coupling; equivalent mutual inductance; equivalent back electromotive forces EMF





Author: Dooyoung Yang 1, Hyungsoo Mok 2,* , Jusuk Lee 3 and Soohee Han 4

Source: http://mdpi.com/



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