• DocumentCode
    2086029
  • Title

    Approximate feedforward control

  • Author

    Li, Xian ; Wang, Qing-Guo ; Cai, Wen-Jian

  • Author_Institution
    Department of Electrical & Computer Engineering, National University of Singapore, Singapore, 117576
  • fYear
    2015
  • fDate
    May 31 2015-June 3 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Disturbances are inevitable in most control systems. They drive the systems away from their set points. It takes time for feedback control to reject them. The feedforward control offers great potentials for regulation performance if the disturbances are measurable. One obstacle for feedforward control implementation is that the theoretical one is unrealizable for various reasons. In this paper, a new feedforward control design approach based on frequency response approximation is proposed and performs much better than the existing method in the literature. A performance measure is defined to assess if the feedforward control can outperform feedback control alone and analytical conditions are derived to determine such a measure a prior. Simulation is presented for illustration of our method.
  • Keywords
    Approximation algorithms; Approximation methods; Cost function; Feedback control; Feedforward neural networks; Frequency response; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2015 10th Asian
  • Conference_Location
    Kota Kinabalu, Malaysia
  • Type

    conf

  • DOI
    10.1109/ASCC.2015.7244555
  • Filename
    7244555