DocumentCode :
2911024
Title :
Finite Element Analysis, modeling and torque distribution control for Switched Reluctance Motors with high non-linear inductance characteristics
Author :
Nguyen, Bao-Huy ; Ta, Cao-Minh
fYear :
2011
fDate :
15-18 May 2011
Firstpage :
693
Lastpage :
698
Abstract :
Due to the naturally high torque ripple and non-linear characteristics, the applications of Switched Reluctance Motors (SRM) drives are very limited. It is well known that the Torque Distribution Functions (TDFs) method is one of the most effective methods to reduce their torque ripple. This paper presents an analysis of the drawback of TDFs when they are utilized for SRMs with high non-linear characteristics and proposes a technique to improve the torque distribution control for high non-linear SRMs using a fuzzy based adjustment mechanism. The Finite Element Analysis (FEA) is implemented to analyze the inductance characteristics. The SRM control strategy is realized in Matlab/Simulink environment showing the superiority of the proposed technique as compared to the conventional TDF method.
Keywords :
fuzzy control; inductance; machine control; mesh generation; nonlinear control systems; power distribution control; reluctance motor drives; torque control; Matlab-Simulink; SRM control; TDF method; distribution control; finite element analysis; fuzzy based adjustment mechanism; high nonlinear inductance characteristics; high torque nonlinear characteristics; high torque ripple characteristics; inductance characteristics; switched reluctance motor; torque distribution control; torque distribution function method; Distribution functions; Finite element methods; Inductance; Mathematical model; Reluctance motors; Torque; Finite Element Method (FEM); Fuzzy Inference System (FIS); High non-linear inductance characteristics; Switched Reluctance Motor (SRM); Torque Distribution Functions (TDF);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Machines & Drives Conference (IEMDC), 2011 IEEE International
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4577-0060-6
Type :
conf
DOI :
10.1109/IEMDC.2011.5994895
Filename :
5994895
Link To Document :
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