Open AccessUnbalanced normal force reduction in the eccentric double‐sided linear switched reluctance machine
Author(s) -
Wang Qianlong,
Chen Hao,
Nie Rui
Publication year - 2016
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.2015.0419
Subject(s) - eccentricity (behavior) , switched reluctance motor , control theory (sociology) , reduction (mathematics) , eccentric , finite element method , inductance , magnetic reluctance , voltage , mathematics , engineering , computer science , structural engineering , magnet , control (management) , mechanical engineering , rotor (electric) , electrical engineering , artificial intelligence , geometry , political science , law
This paper presents a novel control method for unbalanced normal force (UNF) reduction in the eccentric double‐sided linear switched reluctance machine (DLSRM). Online detection of the DLSRM eccentricity is investigated via magnetic circuit analysis as well as finite element method. It is shown that the DLSRM eccentricity is directly proportional to the difference between reciprocal values of winding unsaturated inductances on both sides of the DLSRM mover. In order to improve the accuracy of the eccentricity detection, a new scheme to estimate the winding inductances is proposed on the basis of the voltage pulse injection considering iron losses in the test DLSRM in the laboratory. Afterward, a control algorithm for the UNF reduction, according to the estimated real‐time eccentricity, is designed, and the corresponding power converter and flow chart are illustrated in detail. To verify the proposed methods, a prototype experimental platform is developed, and the experimental results confirm that the proposed methods in this study are feasible and effective.