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Volume 19 Issue 4
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2011  >  19(4): 299-302
WANG Ding, XIE Shun-yin, LIAN Jun-qiang. Optimization Design of Motor for Torpedo Integrated Motor Propulsor Based on Chaos Ant Colony Algorithm[J]. Journal of Unmanned Undersea Systems, 2011, 19(4): 299-302. doi: 10.11993/j.issn.1673-1948.2011.04.014
Citation: WANG Ding, XIE Shun-yin, LIAN Jun-qiang. Optimization Design of Motor for Torpedo Integrated Motor Propulsor Based on Chaos Ant Colony Algorithm[J]. Journal of Unmanned Undersea Systems, 2011, 19(4): 299-302. doi: 10.11993/j.issn.1673-1948.2011.04.014
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Optimization Design of Motor for Torpedo Integrated Motor Propulsor Based on Chaos Ant Colony Algorithm

doi: 10.11993/j.issn.1673-1948.2011.04.014

  • Department of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China

  • Received Date: 2010-11-03
  • Rev Recd Date: 2010-12-03
  • Publish Date: 2011-08-31
    Abstract
  • To enhance power density and work efficiency of the special brushless DC motor for integrated motor propulsor (IMP) of torpedo, a hybrid optimum intelligent algorithm, named chaos ant colony algorithm (CACA), is presented. This method embeds chaos optimization algorithm into ant colony algorithm. The special brushless DC motor is optimized by making use of the high accuracy of the ant colony algorithm and the rapidness of the chaos optimization algorithm. The optimization results of the motor show that the efficiency is enhanced by 1.6% and the volume is reduced by 5.6%. The proposed chaos ant colony algorithm may become a tool for the design of special brushless DC motor of torpedo IMP.

     

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