• DocumentCode
    246404
  • Title

    Analysis of Prediction Models for Multi-robot System NMPFC

  • Author

    Azevedo, Diego S. ; Costa, Luis F. S. ; Brito, Alisson V. ; Nascimento, Tiago P.

  • Author_Institution
    Dept. of Comput. Syst., Fed. Univ. of Paraiba, Joao Pessoa, Brazil
  • fYear
    2014
  • fDate
    18-23 Oct. 2014
  • Firstpage
    19
  • Lastpage
    24
  • Abstract
    This paper analyzes the prediction model of a nonlinear model predictive formation controller (NMPFC) applied to control the formation of a team of omni directional mobile robots. The prediction model calculates future formation behaviors with respect to obstacles, team mates in formation, target, orientation, position in formation and control effort using a kinematic model to predict most of the formation terms. Nevertheless, the prediction of the robots in formation can be done by either dynamic models or pure kinematic models. Therefore, this paper presents an analysis in order to find a balanced robot´s prediction model that stimulates the robots the converge in less time and minimizing the controller´s cost function. Finally, results of experiments with simulated robots are presented and discussed.
  • Keywords
    mobile robots; multi-robot systems; nonlinear control systems; predictive control; robot dynamics; robot kinematics; balanced robot prediction model analysis; controller cost function; dynamic models; formation terms; kinematic model; multirobot system NMPFC; nonlinear model predictive formation controller; omnidirectional mobile robot; Analytical models; Cost function; Minimization; Mobile robots; Predictive models; Robot kinematics; Formation Prediction Model; Mobile Robots; Nonlinear Model Predictive Controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics: SBR-LARS Robotics Symposium and Robocontrol (SBR LARS Robocontrol), 2014 Joint Conference on
  • Conference_Location
    Sao Carlos
  • Print_ISBN
    978-1-4799-6710-0
  • Type

    conf

  • DOI
    10.1109/SBR.LARS.Robocontrol.2014.12
  • Filename
    7024090