• DocumentCode
    1344111
  • Title

    Gain Margins of Adaptive Control Systems

  • Author

    Sang, Qian ; Tao, Gang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
  • Volume
    55
  • Issue
    1
  • fYear
    2010
  • Firstpage
    104
  • Lastpage
    115
  • Abstract
    This paper presents a systematic study of the gain margins (GM) of adaptive control systems: the specification of the parameter range of a control gain matrix in a designed adaptive control system for maintaining the desired closed-loop signal boundedness and asymptotic tracking performance. It is proved that the GM is infinity for continuous-time direct model reference adaptive control (MRAC) schemes applied to multi-input, multi-output (MIMO) linear time-invariant (LTI) systems, while it is finite with an upper bound for the discrete-time case. The derived GM results are applicable to systems with adaptive nonlinear or pole placement control designs. Analytical GM result is also obtained for some indirect multivariable MRAC systems; in particular, the GM is infinity but with a lower bound for such systems. Methods for enlarging the GM by proper choices of design parameters are presented. Moreover, the effect of sample time on the GM of sampled-data adaptive control systems is studied, which establishes the relationship between the continuous-time and discrete-time GM results. A simulation example is provided to illustrate some of the theoretical results.
  • Keywords
    MIMO systems; closed loop systems; continuous time systems; control system synthesis; discrete time systems; model reference adaptive control systems; nonlinear control systems; pole assignment; sampled data systems; tracking; adaptive nonlinear control designs; asymptotic tracking performance; closed-loop signal boundedness; continuous-time direct model reference adaptive control; continuous-time gain margin; control gain matrix; discrete-time gain margin; discrete-time systems; gain margins; indirect multivariable MRAC systems; multiinput multioutput linear time-invariant systems; pole placement control designs; sampled-data adaptive control systems; upper bound; Adaptive control; Adaptive systems; Control systems; H infinity control; MIMO; Performance gain; Programmable control; Signal design; State feedback; Upper bound; Gain margin (GM); high frequency gain matrix; model reference adaptive control (MRAC); sampled-data systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2009.2034921
  • Filename
    5342445