Improved position offset based parameter determination of permanent magnet synchronous machines under different load conditions
Author(s) -
Liu Kan,
Feng Jianghua,
Guo Shuying,
Xiao Lei,
Zhu Z.Q.
Publication year - 2017
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2016.0734
Subject(s) - offset (computer science) , magnet , control theory (sociology) , position (finance) , synchronous motor , computer science , engineering , electrical engineering , artificial intelligence , control (management) , finance , economics , programming language
This study proposes a novel method for the parameter determination of permanent magnet (PM) synchronous machines under different load conditions. It can identify the total dq ‐axis flux linkages and also the PM flux linkage separately by the addition of a pair of negative and positive position offsets. It is also noteworthy that the influence of uncertain inverter non‐linearity and winding resistance is cancelled during the modelling process, and the experimental results on two different PM synchronous machines show a good agreement with the finite‐element prediction results. More importantly, it shows good performance in online tracking the variation of PM flux linkage, which is an important feature for aiding the condition monitoring of PMs, for example, monitoring the temperature of PMs.
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