• DocumentCode
    1670999
  • Title

    Dynamic optimization of PID control parameters of complex magnetic suspension electromechanical coupling system

  • Author

    Song, Fangzhen ; Liu, Hui ; Song, Bo ; Feng, Huimin

  • Author_Institution
    Sch. of Mech. Eng., Univ. of Jinan, Jinan, China
  • fYear
    2010
  • Firstpage
    3435
  • Lastpage
    3440
  • Abstract
    In order to improve the machining precision of the magnetic suspension spindle which is usually installed on machine tool or other elastic structures, and to minimize the effects of machine vibration, the complex magnetic suspension electromechanical coupling system was studied. The design variables, objective functions and constraint condition of coupling system were determined. The optimized program was worked out based on genetic algorithm in VC 6.0 environment and the optimum PID control parameters satisfying static and dynamic machining precision of the magnetic suspension spindle were obtained. The unit sinusoidal response, dynamic flexibility and static flexibility of the coupling system were analyzed. The analysis results show that the dynamic and static characters of the coupling system after optimization have been raised obviously than that before optimization. The adverse effect brought by machine vibration could be reduced by optimizing the PID control parameters of complex magnetic suspension electromechanical coupling system, and the machining precision of the magnetic suspension spindle unit can be improved.
  • Keywords
    couplings; genetic algorithms; large-scale systems; machine tool spindles; machining; precision engineering; suspensions (mechanical components); three-term control; vibration control; PID control parameter; VC 6.0 environment; complex magnetic suspension electromechanical coupling system; dynamic flexibility; dynamic optimization; genetic algorithm; machine tool; machine vibration; machining precision; magnetic suspension spindle; static flexibility; unit sinusoidal response; Couplings; Heuristic algorithms; Machining; Magnetoelasticity; Optimization; Suspensions; Vibrations; control parameters; dynamic optimization; electromechanical coupling system; genetic algorithm; magnetic suspension spindle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5553810
  • Filename
    5553810