Title :
Modeling of a switched reluctance motor under stator winding fault condition
Author :
Chen, H. ; Yan, W. ; Wang, Q. ; Lu, S. ; Chen, Z.
Author_Institution :
Sch. of Inf. & Electr. Eng., Univ. of Min. & Technol., Xuzhou, China
Abstract :
This paper presents a method for modeling inter-turn winding faults in SRM based on artificial neural network (ANN), incorporating a simplified and effective magnetic equivalent circuit method to estimate phase flux-linkages as a function of current and rotor position under inter-turn winding faults.
Keywords :
electric machine analysis computing; equivalent circuits; neural nets; reluctance motors; rotors; stators; artificial neural network; effective magnetic equivalent circuit method; interturn winding faults; phase flux-linkages; rotor position; simplified magnetic equivalent circuit method; stator winding fault condition; switched reluctance motor modeling; Analytical models; Circuit faults; Magnetic circuits; Magnetic flux; Stator windings; Switched reluctance motors;
Conference_Titel :
Magnetics Conference (INTERMAG), 2015 IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7321-7
DOI :
10.1109/INTMAG.2015.7157245
