• DocumentCode
    131643
  • Title

    Research on Path Tracking Predictive Control for Vision-Guided AGV

  • Author

    Zhang Jingtian ; Li Zhongming ; Weng Xun ; Yang Fuxing

  • Author_Institution
    Beijing Univ. of Po stsand Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    10-11 Jan. 2014
  • Firstpage
    524
  • Lastpage
    528
  • Abstract
    A predictive controller based on global gradient descent algorithm is designed for the problem of the path tracking of the Vision-guided AGV with nonholonomic constraints characteristics. The predictive controller can generates a set of control sequence which could eliminate all errors simultaneously under the constraints of control input and the constraints of state. In the time of solving optimization problems, a set of initial control sequence is generated based on the principle of gradient descent, and then optimizes the initial sequence from a global perspective with improved gradient descent algorithm which takes the entire control sequences as optimization goals. It can solve the affection of various constraints to AGV control effect. This algorithm is simple, targed, and the control process is fast and smooth, and meet the actual control needs.
  • Keywords
    automatic guided vehicles; gradient methods; mobile robots; position control; predictive control; AGV control effect; control sequence set; global gradient descent algorithm; nonholonomic constraint characteristics; optimization problems; path tracking predictive control; vision-guided AGV; Automation; Mechatronics; Global optimization; Gradient descent; Model predict; Nonholonomic constraint; Path tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-3434-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2014.127
  • Filename
    6802745