• DocumentCode
    646225
  • Title

    A Lego Mindstorms NXT experiment for Model Predictive Control education

  • Author

    Canale, M. ; Brunet, Simone Casale

  • Author_Institution
    Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    2549
  • Lastpage
    2554
  • Abstract
    This paper presents an educational framework based on the Lego Mindstorms NXT robotic platform used to outline both the theoretical and practical aspects of the Model Predictive Control theory. The case of a two-wheeled inverted pendulum is considered as at-size scenario. For such a system, starting from its mathematical modeling, an established design methodology is presented aiming to outline step-by-step the predictive controller implementation on a low-power architecture. The effectiveness of this multidisciplinary approach is illustrated along this presentation and demonstrated with experimental results.
  • Keywords
    control engineering education; control system synthesis; nonlinear control systems; pendulums; predictive control; robots; Lego Mindstorms NXT experiment; Lego Mindstorms NXT robotic platform; design methodology; educational framework; low-power architecture; model predictive control education; two-wheeled inverted pendulum; Approximation methods; DC motors; Mathematical model; Optimization; Pulse width modulation; Tactile sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2013 European
  • Conference_Location
    Zurich
  • Type

    conf

  • Filename
    6669633