• DocumentCode
    2429909
  • Title

    Dual-loop adaptive decoupling control for single wheeled robot: Based on Neural PID controller

  • Author

    Ruan, Xiaogang ; Wang, Qiyuan ; Yu, Naigong

  • Author_Institution
    Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    2349
  • Lastpage
    2354
  • Abstract
    This paper proposes a dual-loop adaptive decoupling control method based on single neuron PID controller (DADC-SNPID), balancing the single wheeled robot. A unique mechanical and control hardware structure of single wheeled robot is designed and its simplified mathematical model is established using the Newton-Euler equations according to the actual parameters of the designed robot. A new balance and motion control method is proposed as dual-loop adaptive decoupling control method based on single neuron PID controller to control the robot. Results of simulation and physical experiments are conducted to illustrate effectiveness of the designed robot system and its controller under certain conditions.
  • Keywords
    Newton method; adaptive control; mobile robots; motion control; three-term control; Newton-Euler equations; balance control method; control hardware structure; dual-loop adaptive decoupling control; mechanical hardware structure; motion control method; simplified mathematical model; single neuron PID controller; single wheeled robot; Mathematical model; Mobile robots; Neurons; Periodic structures; Robot sensing systems; Wheels; Adaptive Control; Neural PID; Self-balancing; Single Wheeled Robot; Unicycle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-7814-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2010.5707433
  • Filename
    5707433