• DocumentCode
    3358927
  • Title

    A hybrid fuzzy-PI control model for constant-pressure automatic bit-feeding system of large-diameter shaft drilling rig

  • Author

    Cao, Jun ; Zhao, Sheng-Dun ; Tao, Chenli

  • Author_Institution
    Sch. of Mech. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    3021
  • Lastpage
    3026
  • Abstract
    The automatic bit-feeding process is the key technique of the drilling technology. The performance of the automatic bit-feeding system affects directly the drilling efficiency, even the success of the entire shaft project. In order to satisfy the requirements of automatic bit-feeding, a control model combining fuzzy logic with proportional integral algorithm was proposed by analyzing the system operational modes. Applied to the winch control system of a shaft drilling machine, the control model solved the problem of time delay and nonlinearity of the automatic bit-feeding system. The hybrid fuzzy-PI control model borrows ideas from both fuzzy logic control and PID control, solves the problem that the precise mathematical model of the system is difficult to establish, and improves the adaptability and robustness of the system.
  • Keywords
    PI control; control nonlinearities; delays; drilling; fuzzy control; pressure control; shafts; PID control; automatic bit-feeding process; constant pressure system; fuzzy logic control; hybrid fuzzy-PI control; large-diameter shaft drilling rig; nonlinearity; time delay; Algorithm design and analysis; Automatic control; Drilling; Fuzzy logic; Mathematical model; Nonlinear control systems; Pi control; Proportional control; Shafts; Winches; Automatic bit-feeding system; constant-pressure drilling process; drilling pressure deviation; drilling pressure deviation change rate; hybrid fuzzy-PI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5245996
  • Filename
    5245996