DocumentCode :
1469176
Title :
Optimization and Comparison of Novel E-Core and C-Core Linear Switched Flux PM Machines
Author :
Min, W. ; Chen, J.T. ; Zhu, Z.Q. ; Zhu, Y. ; Zhang, M. ; Duan, G.H.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK
Volume :
47
Issue :
8
fYear :
2011
Firstpage :
2134
Lastpage :
2141
Abstract :
Linear flat switched flux permanent magnet (SFPM) brushless machines have significant potential for many applications including transportation, automobile and aerospace. Novel E-core and C-core linear SFPM machines are proposed and optimized by individual parameter optimization, when the copper loss and volume is fixed, in this paper by finite element (FE) analysis. Then, the results of the individual parameter optimizations are examined by a global optimization with genetic algorithm. Furthermore, the magnet thickness of all the machines and the middle teeth of the E-core machines are analyzed individually. Finally, the electromagnetic performance of the novel machines are analyzed and compared with the conventional machine. It shows that both E-core and C-core machines require significantly smaller magnet volume since only about half the number of permanent magnets is required. Furthermore, the C-core machines have the largest back-EMF and force density due to the largest slot area, and the E-core machines are suitable for fault-tolerant operations while the 6/11 mover/stator pole E-core SFPM machine has the smallest cogging force.
Keywords :
brushless machines; electric potential; finite element analysis; genetic algorithms; linear machines; magnetic flux; permanent magnet machines; C-core linear switched flux PM machine; E-core linear switched flux PM machine; SFPM machine; back-EMF; cogging force; fault tolerant operation; finite element analysis; force density; genetic algorithm; linear flat switched flux permanent magnet brushless machine; magnet thickness; magnet volume; parameter optimization; transportation; Copper; Force; Forging; Magnetic cores; Optimization; Stators; Teeth; Global optimization; individual parameter optimization; linear motor; permanent magnet; switched flux;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2011.2125977
Filename :
5728917
Link To Document :
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