Title :
Optimum stator tooth shapes for torque ripple reduction in switched reluctance motors
Author :
Yanni Li ; Aliprantis, Dionysios C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
This paper presents a novel method to obtain optimum stator tooth shapes of switched reluctance motors (SRMs) considering tradeoffs between average torque and torque ripple. Typically, torque ripple in SRMs is mitigated by current waveform shaping for a given machine design. Here, the issue is addressed using an inverse approach: the best geometry is found for a given current waveform. A hybrid finite element/airgap macro-element method with steepest descent optimization is used.
Keywords :
finite element analysis; gradient methods; machine theory; reluctance motors; stators; torque; airgap macroelement method; average torque; current waveform; hybrid finite element method; optimum stator tooth shape; steepest descent optimization; switched reluctance motors; torque ripple reduction; Air gaps; Optimization; Reluctance motors; Rotors; Shape; Stators; Torque; Electric motors; finite element methods; optimization; switched reluctance motors;
Conference_Titel :
Electric Machines & Drives Conference (IEMDC), 2013 IEEE International
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-4975-8
Electronic_ISBN :
978-1-4673-4973-4
DOI :
10.1109/IEMDC.2013.6556224
