• DocumentCode
    2634773
  • Title

    Auto-tuning PID module of robot motion system

  • Author

    Xiao, Huafei ; Wang, Shaoping

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    668
  • Lastpage
    673
  • Abstract
    In order to make the movement of mobile robot more smoothly, this paper designs a Auto-tuning PID module for mobile robot motion system. Based on the systematic mathematical model, this paper presents a least-square real-time parameter estimation algorithm with forgetting factor and incremental PID controller algorithm, and provides PID parameters optimization algorithm for the minimization of objective function. The digital signal controller Microchip dsPIC30F4011 is chosen as the core of master control system to accomplish the design of system software and hardware. The results of spot test in mobile robot´s platform indicates that self-tuning PID control system can real-time estimate the controlled object parameter, real-time set adjust the controller parameters, then adapt to controlled object variance. So the auto-tuning PID control module is robust with good performance and anti-disturbance capability.
  • Keywords
    digital signal processing chips; least squares approximations; mobile robots; motion control; parameter estimation; self-adjusting systems; three-term control; PID parameters optimization algorithm; autotuning PID module; digital signal controller Microchip dsPIC30F4011; forgetting factor; incremental PID controller algorithm; least-square real-time parameter estimation algorithm; mobile robot motion system; objective function minimization; selftuning PID control system; Algorithm design and analysis; Brushless DC motors; Mobile robots; Motion control; Torque; Auto-tuning PID; DSC; Mobile robot; Motion Controller; Parameter estimate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-8754-7
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/ICIEA.2011.5975670
  • Filename
    5975670