• DocumentCode
    3580063
  • Title

    Mobile robot adaptive trajectory control: Non-linear path model inverse transformation for model reference

  • Author

    Ramirez-Martinez, O.L. ; Martinez-Garcia, E.A. ; Mohan, R.E. ; Sheba, J.K.

  • Author_Institution
    Inst. of Eng. & Technol., Univ. Autonoma de Ciudad Juarez, Ciudad Juarez, Mexico
  • fYear
    2014
  • Firstpage
    877
  • Lastpage
    881
  • Abstract
    In particular, service robotics is strongly tided to highly accurate navigational tasks where pathway tracking is a practice commonly carried out through control algorithms. This study proposes theoretical non-linear pathways presented as kth-degree polynomials as model references. Our proposal establishes a proportional control with a variable model reference at the level of second order derivatives to which the robot´s motion is adapted on-line. The robot´s fixed frame Cartesian trajectory model is inversely transformed to wheels´ angular acceleration components, which are the reference models. Although, our proposal may be applied to any type of wheeled robot´s kinematic structure, we are presenting an example of two active wheels with differential velocity modality. Obtained results raised from successful experimental practice and numerical simulations as well, which depict the capability of the proposed model control.
  • Keywords
    adaptive control; mobile robots; nonlinear control systems; polynomials; service robots; trajectory control; kth-degree polynomials; mobile robot adaptive trajectory control; model reference; nonlinear path model inverse transformation; nonlinear pathways; pathway tracking; proportional control; robot fixed frame Cartesian trajectory model; robot motion; service robotics; variable model reference; wheeled robot kinematic structure; Acceleration; Adaptation models; Mathematical model; Mobile robots; Numerical models; Wheels; Mobile robot; adaptive model reference; non-linear path-model; trajectory control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICARCV.2014.7064420
  • Filename
    7064420