• DocumentCode
    3576078
  • Title

    Analysis of rotary brush control characteristics for a road sweeping robot vehicle

  • Author

    Chong Wang ; Parker, Graham

  • Author_Institution
    Sch. of Mech. & Automotive Eng., Liaocheng Univ., Liaocheng, China
  • fYear
    2014
  • Firstpage
    1799
  • Lastpage
    1804
  • Abstract
    This paper discusses some aspects of brush control techniques for a concept of a novel semi-autonomous road sweeper. One of the main difficulties of developing such a robot sweeping vehicle is that the general characteristics of the sweeping brushes are not well known. This study employs a FE model that calculates the brush deformation to assist the controller design. Using the FE model some useful brush characteristics, such as the stiffness and the deformation geometry can be obtained. The analysis suggests that brush characteristics may vary significantly at different operating points and introduce considerable challenges to the servo control strategies. The FE modeling results may be utilized to predict these characteristics and to develop a more adaptive brush servo controller. A simulation of such a predictive brush controller is then introduced for road sweeping automation.
  • Keywords
    adaptive control; control system synthesis; deformation; elasticity; finite element analysis; mobile robots; predictive control; servomechanisms; FE model; adaptive brush servo controller; brush characteristics; brush control techniques; brush deformation; controller design; deformation geometry; predictive brush controller; road sweeping automation; road sweeping robot vehicle; rotary brush control characteristics; semiautonomous road sweeper; servo control strategies; stiffness; sweeping brushes; Brushes; Damping; Deformable models; Force; Mathematical model; Roads; Velocity control; brush control; brush modeling; road sweeper; sweeping brush;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Control (ICMC), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2537-7
  • Type

    conf

  • DOI
    10.1109/ICMC.2014.7231871
  • Filename
    7231871