• DocumentCode
    2495044
  • Title

    Immune PI control on PMSM speed regulating system

  • Author

    Xuepeng, Liu

  • Author_Institution
    Sch. of Mech. Eng., South China Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    6891
  • Lastpage
    6896
  • Abstract
    This paper presents an immune PI control that consists of immune optimization algorithm and PI control. Traditional PI control canpsilat quickly match variation of motor variables or load disturbance in permanent magnet synchronous motor since control parameters are discrete and off-line adjusted. Therefore, by designing target function, antigen affinity, antibodies affinity and mutation, the immune algorithm optimizes parameters and memory cells. The tests and the simulation with time-based Parameters demonstrate immune algorithm makes control strategy and has global optimization ability and strong robustness. Based on DSP technology and SVPWM algorithm, the system shows that immune PI control system can obtain stable situation in 50 ms, have much improvement in dynamic and static performance.
  • Keywords
    PI control; optimisation; permanent magnet motors; synchronous motors; velocity control; DSP technology; PMSM speed regulating system; SVPWM algorithm; antibodies affinity; antigen affinity; discrete control parameters; global optimization; immune PI control; immune algorithm; immune optimization algorithm; load disturbance; memory cells; motor variables; off-line adjusted control parameters; permanent magnet synchronous motor; target function; time-based parameters; Algorithm design and analysis; Design optimization; Digital signal processing; Genetic mutations; Magnetic variables control; Permanent magnet motors; Pi control; Robust control; Synchronous motors; Testing; Immune algorithm; PI control; PMSM; SVPWM; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593982
  • Filename
    4593982