• DocumentCode
    2569931
  • Title

    Adaptive control of systems in cascade with saturation

  • Author

    Kannan, Suresh K. ; Johnson, Eric N.

  • Author_Institution
    Sch. of Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    42
  • Lastpage
    47
  • Abstract
    Some systems may be approximated as block cascades structures where each block of the cascade can be approximately feedback linearized. In such systems, the states of the lower subsystem blocks affect the dynamics of the upper subsystems. In generating an inverse for a given block, a subset of its lower subsystem states can be treated as virtual actuators in addition to actual direct actuation that may be available. The desired virtual actuator signal arising from the upper subsystem´s inverse now appears as a command to the lower subsystem. This paper introduces an adaptive element that is capable of canceling modeling errors arising due to feedback linearization. It also introduces reference models that include a pseudocontrol hedging signal which protects the adaptive element from lower subsystem´s dynamics.
  • Keywords
    actuators; adaptive control; cascade control; cascade systems; feedback; linearisation techniques; adaptive control system; adaptive element; block cascade structure; feedback linearization; lower subsystem block; pseudocontrol hedging signal; upper subsystem; virtual actuator; Actuators; Adaptation model; Aerodynamics; Artificial neural networks; Degradation; Insulation life; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717276
  • Filename
    5717276