• DocumentCode
    115273
  • Title

    A piecewise-affine approach to the analysis of non-linear control laws for pneumatic systems

  • Author

    Ameur, Omar ; Massioni, Paolo ; Scorletti, Gerard ; Brun, Xavier ; Smaoui, Mohamed

  • Author_Institution
    Lab. Ampere, Univ. de Lyon, Lyon, France
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    3963
  • Lastpage
    3969
  • Abstract
    This paper concerns the control of pneumatic actuators, which are nowadays of widespread use in the industry. A problem related to the use of such actuators is the so-called “stick-slip”, due to the presence of dry friction on the system. A switching control law has been proposed in the literature in order to avoid this phenomenon, without giving a formal proof of the closed-loop stability of the system; the absence of a proof was due to the difficulty of finding a Lyapunov function, and to the fact that the state converges not to a single point but to a set. In this article, we prove stability by modelling the pneumatic system and its switching control law as a piecewise affine system. This formalism allows the use of a variety of specific techniques, which we have extended in order to cast the proof of the convergence of the state as a Linear Matrix Inequality (LMI) test. The paper contains the description of our experimental setup and the results obtained by applying the aforementioned method.
  • Keywords
    Lyapunov methods; closed loop systems; convergence of numerical methods; linear matrix inequalities; nonlinear control systems; piecewise constant techniques; pneumatic actuators; stability; stick-slip; LMI; Lyapunov function; closed loop stability; convergence; dry friction; linear matrix inequality; nonlinear control laws analysis; piecewise affine approach; pneumatic actuators; pneumatic system modelling; stick-slip; switching control law; Convergence; Friction; Lyapunov methods; Stability analysis; Switches; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040005
  • Filename
    7040005