Title :
Optimization of suspending force for novel bearingless switched reluctance motor
Author :
Xue, B. ; Wang, H. ; Tang, S.
Author_Institution :
Instrum. Sci. & Opto-Electron. Eng., Beihang Univ., Beijing, China
Abstract :
Optimization of the suspending force of a novel permanent magnet biased bearingless switched reluctance motor is proposed in this paper. The proposed motor parameters are optimized using response surface methodology and genetic algorithm.
Keywords :
genetic algorithms; permanent magnet motors; reluctance motors; response surface methodology; bearingless switched reluctance motor; genetic algorithm; optimization; permanent magnet-biased motor; response surface methodology; suspending force; Force; Magnetic flux; Magnetic levitation; Magnetic separation; Optimization; Reluctance motors;
Conference_Titel :
Magnetics Conference (INTERMAG), 2015 IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7321-7
DOI :
10.1109/INTMAG.2015.7157248
