DocumentCode :
3026743
Title :
Optimum Design Approach for Two-Phase Switched Reluctance Compressor Drive
Author :
Kano, Yoshiaki ; Kosaka, Takashi ; Matsui, Nobuyuki
Author_Institution :
Nagoya Inst. of Technol., Nagoya
Volume :
1
fYear :
2007
fDate :
3-5 May 2007
Firstpage :
797
Lastpage :
804
Abstract :
This paper presents an optimum design approach for 2-phase switched reluctance motor (SRM) drives. The proposed drive is designed for compressor drives in a small-sized refrigerator as an alternative to existing brushless DC motor with rare-earth magnets. In the proposed approach, three GA loops work to optimize the lamination design as well as simultaneously fine-tuning the control parameters. To achieve the design optimization within an acceptable computation time, the repeated-calculation required to obtain fitness evaluation in the proposed approach does not use finite element analysis, but consists of a dynamic simulator based on an analytical expression of the magnetizing curves and a geometric flux tube-based nonlinear magnetic analysis developed specifically for this class of motors. The design results show the proposed approach can autonomously find a feasible design solution of SRM drive for the target application from huge search space. The experimental studies using a 2-phase 8/6 prototype manufactured in accordance with the optimized design parameters show the validity of the proposed design approach.
Keywords :
compressors; electronic design automation; genetic algorithms; laminations; refrigerators; reluctance motor drives; design optimization; dynamic simulator; fitness evaluation; geometric flux tube; lamination design; nonlinear magnetic analysis; optimum design approach; small-sized refrigerator; switched reluctance motor drives; two-phase switched reluctance compressor drive; Brushless DC motors; Computational modeling; Design optimization; Finite element methods; Lamination; Magnetic analysis; Magnets; Refrigeration; Reluctance machines; Reluctance motors; autonomous design; compressor drives; computer-aided design; genetic algorithm; switched reluctance motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Machines & Drives Conference, 2007. IEMDC '07. IEEE International
Conference_Location :
Antalya
Print_ISBN :
1-4244-0742-7
Electronic_ISBN :
1-4244-0743-5
Type :
conf
DOI :
10.1109/IEMDC.2007.382770
Filename :
4270743
Link To Document :
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