• DocumentCode
    2569918
  • Title

    Model reference adaptive control with a constrained linear reference model

  • 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
    48
  • Lastpage
    53
  • Abstract
    For systems with limited control authority and a control design that does not prevent saturation from occurring, using a linear reference model can introduce problems, especially when the external command is not necessarily conditioned to respect the capabilities of the plant. An example of this is commanding a large step command that cannot really be achieved linearly by the plant due to limited control authority. Linear reference models will attempt to elicit a linear response in the plant when no such response is possible (peaking). Although providing a realistic command that can be tracked is the job of the planner or trajectory generator, it is desirable if unrealistic commands can be handled at the reference model by shaping its own response trajectory in a way that prevents premature saturation of control signals. This paper introduces reference models that are linear locally but limit their internal dynamics using saturation functions as a part of its dynamics.
  • Keywords
    control system synthesis; model reference adaptive control systems; constrained linear reference model; control design; control signals; internal dynamics; limited control authority; linear response; model reference adaptive control; premature saturation; reference models; response trajectory; saturation functions; trajectory generator; unrealistic commands; Actuators; Adaptation model; Adaptive systems; Aerodynamics; Approximation methods; Artificial neural networks; Trajectory;
  • 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.2010.5717275
  • Filename
    5717275