NDLI: Experimental Estimation of Inductance for Interior Permanent Magnet Synchronous Machine Considering Temperature Distribution

Content Provider	IEEE Xplore Digital Library
Author	Chinchul Choi Wootaik Lee Soon-O Kwon Jung-Pyo Hong
Copyright Year	1965
Abstract	This paper quantitatively analyzes inductance estimation errors due to temperature variation and proposes accurate experimental estimation methods considering the temperature distribution of an interior permanent magnet synchronous machine (IPMSM). Accurate knowledge of direct and quadrature-axis inductances is essential for high-performance control of an IPMSM. From the quantitative error analysis results, it is shown that the temperature variation is a very sensitive factor for the accuracy of the experimental estimation of the inductances. For accurate temperature consideration, two experimental estimation approaches are proposed. One uses the temperature measured at end windings to represent the internal temperature of the machine. The other uses both the measured temperature and other temperature information obtained from a temperature distribution analysis. This paper carries out a case study in which the proposed estimation methods are applied to a sample IPMSM with ferrite magnets. Experimental results are compared with finite element analysis (FEA) results in order to verify the effectiveness of the proposed methods.
Sponsorship	IEEE Magnetics Society
Starting Page	2990
Ending Page	2996
Page Count	7
File Size	868229
File Format	PDF
ISSN	00189464
Volume Number	49
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature measurement Estimation Magnetic flux Inductance Temperature distribution Temperature sensors Saturation magnetization temperature distribution interior permanent magnet synchronous machine (IPMSM) parameter estimation
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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