• DocumentCode
    2060935
  • Title

    Unbalance compensation for active magnetic bearings using ILC

  • Author

    Chiacchiarini, Héctor G. ; Mandolesi, Pablo S.

  • Author_Institution
    Departamento de Ingenieria Electrica, Univ. Nacional del Sur, Bahia Blanca, Argentina
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    58
  • Lastpage
    63
  • Abstract
    A PID control strategy with compensation of unbalance due to centrifugal forces using a learning strategy is presented for an active magnetic bearing. Experimental results are included, which show good performance with tracking of the disturbance in a wide range of shaft velocities. Experiments were performed with different methods to eliminate the undesirable high frequency components from the compensating signal and to allow changes in magnitude and frequency of the perturbation: a) Using a forgetting factor, and b) using a noncausal low-pass filter
  • Keywords
    compensation; iterative methods; learning (artificial intelligence); low-pass filters; machine control; magnetic bearings; three-term control; ILC; PID control strategy; active magnetic bearings; centrifugal forces; forgetting factor; high-frequency component elimination; iterative learning control; learning strategy; noncausal low-pass filter; unbalance compensation; Automatic control; Bandwidth; Filters; Force control; Frequency; Magnetic levitation; Shafts; Signal processing; Tellurium; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    0-7803-6733-2
  • Type

    conf

  • DOI
    10.1109/CCA.2001.973838
  • Filename
    973838