• DocumentCode
    128684
  • Title

    Sectionalized tracking control and experiment of AGV

  • Author

    Dongdong Chen ; Peijiang Yuan ; Tianmiao Wang ; Fucun Ma ; Yong Li ; Ting Lai ; Wei Han

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    1645
  • Lastpage
    1650
  • Abstract
    In order to have a better practical application of AGV in automated warehouse, this paper proposes a sectionalized tracking control method. Firstly, the kinematic model and the tracking control model of AGV are designed. Secondly, the path planned in this paper is composed of segments and arcs. Based on the shortest time principle, and also taking the geometric characteristics of segments and arcs into consideration, the planning of reference posture and reference velocities for segment and for arc are modeled. Then, tracking control rule is designed with Lyapunov function. Finally, the tracking control experiments of segment, arc and path consisting of segments and arcs are carried out on an experimental platform. And it is concluded that the sectionalized tracking control method is effective and feasible.
  • Keywords
    Lyapunov methods; automatic guided vehicles; geometry; path planning; position control; velocity control; warehouse automation; AGV kinematic model; AGV tracking control model; Lyapunov function; automated warehouse; geometric characteristics; path planning; reference posture planning; reference velocity planning; sectionalized tracking control method; tracking control rule; Acceleration; Angular velocity; Planning; Radio frequency; Target tracking; Trajectory; Wheels; AGV; Lyapunov; Nonholonomic system; Tracking control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931431
  • Filename
    6931431