• Overview of Chinese core journals
  • Chinese Science Citation Database(CSCD)
  • Chinese Scientific and Technological Paper and Citation Database (CSTPCD)
  • China National Knowledge Infrastructure(CNKI)
  • Chinese Science Abstracts Database(CSAD)
  • JST China
  • SCOPUS
LI Hang, XIANG Zhongfan, LIU Jianxin, et al. Research on Path Tracking of Forklift AGV Based on Sliding Mode Control[J]. Journal of Xihua University(Natural Science Edition), 2021, 40(6): 58 − 63. . DOI: 10.12198/j.issn.1673-159X.4093
Citation: LI Hang, XIANG Zhongfan, LIU Jianxin, et al. Research on Path Tracking of Forklift AGV Based on Sliding Mode Control[J]. Journal of Xihua University(Natural Science Edition), 2021, 40(6): 58 − 63. . DOI: 10.12198/j.issn.1673-159X.4093

Research on Path Tracking of Forklift AGV Based on Sliding Mode Control

  • Path tracking accuracy is one of the key parameters to realize the engineering application of forklift AGV. The common sliding mode control methods based on reaching law cannot meet the application needs of complex working conditions and are prone to chattering. Therefore, a new sliding mode control method based on power reaching law and anti-sine function is proposed to realize the path tracking control of forklift AGV. The simulation experiment is carried out by MATLAB software, and the prototype vehicle physical test is also carried out. The simulation and physical test results show that the proposed control method can not only improve the tracking accuracy of forklift AGV, but also reduce the chattering during the movement of forklift AGV.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return