• DocumentCode
    3293959
  • Title

    Optimal commutation laws by real-time optimization for multiple motor driven systems

  • Author

    Ruben, S.D. ; Tsu-Chin Tsao

  • Author_Institution
    Mech. & Aerosp. Eng. Dept., Univ. of California at Los Angeles, Los Angeles, CA, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    1942
  • Lastpage
    1947
  • Abstract
    This paper addresses commutation laws of brushless motor coils for multiple-degree-of-freedom motion. By exploiting the redundancy of motor coils and motor force generation that exist in over actuated motion platforms, we propose a commutation law, which generates the required forces while minimizing the effect of motor coil heat generation on thermal distortion on the motion platform work space. To realize the commutation laws in real-time, a real-time iterative solution, using an interior-point method, is described and shown to solve this problem in under 35 microseconds, within the update rate of our system running at over 9KHz.
  • Keywords
    brushless machines; coils; commutation; iterative methods; motor drives; optimisation; brushless motor coils; force generation; interior-point method; multiple motor driven systems; multiple-degree-of-freedom motion; optimal commutation laws; real-time iterative solution; real-time optimization; thermal distortion; Brushless motors; Coils; Commutation; Control systems; Motion control; Permanent magnet motors; Real time systems; Stators; Synchronous motors; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531546
  • Filename
    5531546