Open AccessCompensation analysis of longitudinal end effect in three‐phase switched reluctance linear machines
Author(s) -
Nie Rui,
Chen Hao,
Liu Jinfu,
Zhao Wenmin,
Wang Xing,
Palka Ryszard
Publication year - 2020
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.2019.0142
Subject(s) - switched reluctance motor , stator , control theory (sociology) , ripple , compensation (psychology) , finite element method , magnetic reluctance , sensitivity (control systems) , computer science , engineering , magnet , electronic engineering , structural engineering , mechanical engineering , electrical engineering , rotor (electric) , psychology , control (management) , voltage , artificial intelligence , psychoanalysis
The longitudinal end effect of switched reluctance linear machine (SRLM) makes the electromagnetic characteristics of different phases unbalanced, especially in magnetic flux distributions. These discrepancies unbalance phase currents and aggravate the force ripple of SRLM, which are verified on a double‐sided SRLM. This study aims to analyse the influence of the longitudinal end effect on SRLMs and to investigate simple but practical compensation methods for the performance improvement of linear machines. Through magnetic circuit analysis, a new compensation method which is widening stator end poles is proposed for the first time. Three‐dimensional finite element analysis (3D FEA) shows that this new method can decrease the force factor by about 93.9%, while the previously used method which is adding auxiliary stator poles can decrease the force ripple factor by only about 27.5%. In addition, the proposed method needs less extra space than the previous method. Hence, the new compensation method is more practical and more efficient. Furthermore, the theoretical value of optimal width of stator end poles is expressed, and its effectiveness is confirmed by sensitivity analysis.