• DocumentCode
    1473017
  • Title

    LPV techniques for control of an inverted pendulum

  • Author

    Kajiwara, H. ; Apkarian, P. ; Gahinet, P.

  • Author_Institution
    Kyushu Inst. of Technol., Kawazu, Japan
  • Volume
    19
  • Issue
    1
  • fYear
    1999
  • Firstpage
    44
  • Lastpage
    54
  • Abstract
    The authors present a comprehensive application of linear fractional transformation and polytopic control techniques to the control of an arm-driven inverted pendulum, The particular interest of this application lies in the fact that all ingredients of the design problem have to be taken into account; from the specifications up to the constraints inherent to real-world implementations. In this context, it has been shown that currently available synthesis methodologies, such as μ and LPV techniques, may fail to provide acceptable answers, A major obstacle is undoubtedly the implementation constraint that puts hard limitations on the controller dynamics, These limitations are generally difficult to handle within the usual formulation of LPV control techniques. It has been shown that a suitable extension of these techniques including LMI region constraints on the closed-loop dynamics can overcome this difficulty. When implementable, it has been observed that LPV controllers outperform fixed μ controllers both in robustness and performance. These observations were confirmed by simulations but more importantly by a number of records on the physical experiment.
  • Keywords
    closed loop systems; control system synthesis; manipulators; nonlinear control systems; pendulums; robust control; LMI region constraints; LPV techniques; arm-driven inverted pendulum; closed-loop dynamics; control design; control system synthesis; controller dynamics limitations; inverted pendulum; linear fractional transformation control; polytopic control; robustness; Aerospace control; Computational geometry; Control system synthesis; Control systems; Industrial training; Interpolation; Job shop scheduling; Open loop systems; Robot control; Robust stability;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/37.745767
  • Filename
    745767