• DocumentCode
    3480795
  • Title

    Applications of immune genetic algorithm in frequency speed control pumping station

  • Author

    Wang, Jin ; Wang, Hui ; Zhang, Hong ; Meng, Xing-Ping

  • Author_Institution
    Dept. of Electr. Eng., Changchun Inst. of Technol., Changchun, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1203
  • Lastpage
    1207
  • Abstract
    Circulating cooling water system of high speed wire factory was in trouble for pumps working in higher energy consumption and lower efficiency. The paper analyzed the characteristic of speed water pump. Mathematical model was established with the optimized goal of the lowest energy consumption and it simplified inequality constraint conditions. Immune genetic algorithm (IGA) to handle constrained problems was proposed. It simplified handling constraint condition and the premature convergence of genetic algorithm, which made handling constraint problem easier and improved the global search ability of the algorithm. Simulation results show that it is an effective algorithm to solving optimal problem of frequency speed control pumps in water circulating system.
  • Keywords
    frequency control; genetic algorithms; pumping plants; velocity control; water supply; circulating cooling water system; energy consumption; frequency speed control pumping station; global search ability; handling constraint problem; immune genetic algorithm; wire factory; Constraint optimization; Cooling; Energy consumption; Frequency; Genetic algorithms; Mathematical model; Production facilities; Velocity control; Water; Wire; Circulating cooling water system; Immune genetic algorithm; Intelligent Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262680
  • Filename
    5262680