• DocumentCode
    1845353
  • Title

    Optimal load coordination in a hybrid bi-axis drive system using genetic algorithm

  • Author

    Kaviani, Ali ; Behrooz, Morteza ; Mohammed, Osama

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    939
  • Lastpage
    944
  • Abstract
    This paper presents a new approach to optimal load coordination in hybrid bi-axis drive systems. The idea is to utilize the regenerated energy from decelerating motors to supply other loads on a common DC bus. In this study, we applied a genetic algorithm to find the optimal time delay between the operations of two permanent magnet motor-drives in order to minimize the amount of energy purchased from the utility grid. The results indicate that optimal coordination significantly improves the performance and efficiency of the system.
  • Keywords
    genetic algorithms; motor drives; permanent magnet motors; DC bus; genetic algorithm; hybrid biaxis drive system; optimal load coordination; optimal time delay; permanent magnet motor-drives; utility grid; Acceleration; Drives; Hysteresis motors; Induction motors; Permanent magnet motors; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675161
  • Filename
    5675161