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GA-Based Autonomous Electromagnetic Design and Experimental Verification of Two-Phase Switched Reluctance Compressor Drive
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| Author(s) |
KANO Yoshiaki; MATSUI Nobuyuki; KOSAKA Takashi |
| Abstract |
This paper presents an approach to Genetic Algorithm (GA)-based computer aided autonomous electromagnetic design of 2-phase switched reluctance motor drives. The proposed drive is designed for compressor drives of low-priced refrigerators as an alternative to existing brushless DC motor drives with rare-earth magnets. In the proposed design approach, three GA loops work to optimize the lamination design in order to meet the requirements for the target application while simultaneously fine-tuning the control parameters. To achieve the design optimization within a realistic timescale, the repeated-calculation required to obtain fitness evaluation does not use Finite Element Analysis (FEA), but consists of geometric flux tube-based non-linear magnetic analysis and a dynamic simulator based on an analytical expression of the magnetizing curves obtained from the non-linear magnetic analysis. The validity of the proposed design approach is verified through several comparative studies on the design results with FEA and the experimental studies using a 250W 2-phase 8/6 prototype which is designed by the proposed optimizing GA approach. |
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| Filename: | 0678-epe2007-full-14023310.pdf |
| Filesize: | 666.8 KB |
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| Type |
Members Only |
| Date |
Last modified 2008-01-11 by System |
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