• DocumentCode
    3660477
  • Title

    Spraying robot kinematics analysis based on BP neural network

  • Author

    Zhongcai Pei;Mingwei Zhao;Difei Liu

  • Author_Institution
    School of Automation Science and Electrical Engineering, Beihang University, Xueyuan Road, Beijing, China
  • fYear
    2015
  • Firstpage
    2744
  • Lastpage
    2748
  • Abstract
    In this paper, we use the five-degrees-of-freedom spraying robot as the research object which is in the process of development in our laboratory. Robot kinematics is analyzed in order to solve the control problem. Each link coordinate system is established using the D-H method. The transformation matrix between the connecting links is calculated. Then we get the kinematics equations of the robot, and build its model in Matlab environment to verify the correctness of the equations. At last BP neural network is used to solve the inverse kinematics problem. The result is satisfactory after repeated training and validation.
  • Keywords
    "Kinematics","Robot kinematics","Mathematical model","Neurons","Joints","Biological neural networks"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279751
  • Filename
    7279751