• DocumentCode
    2566231
  • Title

    Power-based adaptive and integral control of standard mechanical systems

  • Author

    Dirksz, D.A. ; Scherpen, J.M.A.

  • Author_Institution
    Fac. of Math. & Natural Sci., Univ. of Groningen, Groningen, Netherlands
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    4612
  • Lastpage
    4617
  • Abstract
    Recently a power-based modeling framework was introduced for mechanical systems, based on the Brayton-Moser framework. In this paper it is shown how this power-based framework is used for control of standard mechanical systems. For systems which are affected by parameter uncertainty or other unknown disturbances adaptive control and integral control are also described in this framework. The power-based control approach is also compared with the energy-shaping control of port-Hamiltonian systems. The most interesting difference is the possibility of having adaptive and integrator dynamics depending on position errors, while preserving the physical structure.
  • Keywords
    adaptive control; mechanical engineering; power system control; uncertain systems; Brayton-Moser framework; adaptive dynamics; energy-shaping control; integral control; integrator dynamics; parameter uncertainty; port-Hamiltonian system; position error; power-based adaptive control; power-based modeling; standard mechanical system; Adaptive control; Damping; Equations; Mathematical model; Mechanical systems; Potential energy; Symmetric matrices;
  • 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.2010.5717079
  • Filename
    5717079