Adaptive Torque Estimation for an IPMSM with Cross-Coupling and Parameter Variations
Dooyoung Yang,
Hyungsoo Mok,
Jusuk Lee and
Soohee Han
Additional contact information
Dooyoung Yang: Center, Dongwoon Anatech Co. Ltd., Seoul 05029, Korea
Hyungsoo Mok: Department of Electrical Engineering, Konkuk University, Seoul 05029, Korea
Jusuk Lee: Department of Energy Mechanical Engineering, Gyeonggi College of Science and Technology, Gyeonggi 15073, Korea
Soohee Han: Department of Creative IT Engineering, Phohang University of Science and Technology, Gyeongbuk 37673, Korea
Energies, 2017, vol. 10, issue 2, 1-13
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.
Keywords: adaptive torque estimation; interior permanent magnet synchronous motor (IPMSM); parameter variations; cross-coupling; equivalent mutual inductance; equivalent back electromotive forces (EMF) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:2:p:167-:d:88957
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