• DocumentCode
    2782182
  • Title

    Hybrid control approach for loading process of coal mine train

  • Author

    Liu, Xuedong ; Wang, Bingwen ; Zhou, Ping

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    3387
  • Lastpage
    3392
  • Abstract
    Automatic control for loading process of coal mine train in a large coal preparation plant is studied in this paper. Considering the production practice, a hybrid control scheme is proposed by combining mode-based control and PID control techniques. This hybrid control system consists of a loading capacity setting model, a loading capacity PID controller and a model-based traction speed feedforward controller. The feedforward controller is used to control the traction speed according to the loading basic height. And then the loading capacity setting model is used to auto-adjust the setpoint of the loading capacity controller under the varying loading operating conditions. Lastly, the loading capacity controller is responsible for fast tracking the given setpoint while assuring closed-loop stability by adjusting the gate opening. Both simulation and industrial applications show the validity and effectiveness of the proposed hybrid control approach.
  • Keywords
    closed loop systems; coal; feedforward; locomotives; mining; stability; three-term control; velocity control; PID control techniques; automatic control; closed-loop stability; coal mine train; coal preparation plant; hybrid control approach; loading capacity setting model; loading process; mode-based control; model-based traction speed feedforward controller; Automatic control; Automation; Control system synthesis; Industrial control; Load modeling; Process control; Production; Stability; Three-term control; Hybrid Control; Internal Model Control; Loading Process; Model-based Control; PID Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191884
  • Filename
    5191884