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
Link To Document :
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