Paper Title:
The Application of the Niching Genetic Algorithm to Optimum Design of the YKK Series Induction Motor
  Abstract

In order to get the YKK series motors to the ultimate purpose of achieving energy-efficient, and to meet the various request constraints set forth in the in the actual production, the paper introduces the niche genetic algorithm to the optimization of the motor design. For the forming structure of medium-sized high-voltage stator coils and the actual situation of three round relative fixed size, this article makes a corresponding improvements to the niche genetic algorithm, the proposed approach surmounts effectively the local convergence problem of standard genetic algorithm. The experimental results demonstrate that: compared with the initial program, the ultimate design results of the electrical motors meet the technical specifications of the proposed efficiency motor. Furthermore, the size of motor has been reduced, which saves the effective materials of the motor. It prove the feasibility and advantages of niche genetic algorithm’ improvement, and more important is, it verify the practical engineering value.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 1: Computer-Aided Manufacturing
Edited by
Wu Fan
Pages
453-458
DOI
10.4028/www.scientific.net/AMR.383-390.453
Citation
Z. Q. Hu, G. Y. Hu, J. D. Zong, "The Application of the Niching Genetic Algorithm to Optimum Design of the YKK Series Induction Motor", Advanced Materials Research, Vols. 383-390, pp. 453-458, 2012
Online since
November 2011
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Price
$32.00
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