Title :
Gas discharging system based on fuzzy control
Author :
You, Guodong ; Yang, Shifeng ; Yan, Xueyuan ; Wang, Zhensheng ; Wang, Dejin ; Hou, Yong ; Li, Jisheng ; Wang, Shufang
Author_Institution :
Coll. of Inf. & Autom., Tianjin Univ. of Sci. & Technol., Tianjin, China
Abstract :
The character of gas moving and air flow in heading laneway of underground coal mine was analyzed. Moreover, conventional double fuzzy control model was found to carry out two work mode, normal ventilation and gas discharging. In order to enhance the learning capabilities of the system to the environment, self-learning fuzzy model for auxiliary fan was built to tackle with normal ventilation and gas discharging problem, and SRD was applied to perform speed adjusting of the system. An experiment platform including DSP and IPM was founded to testify the control strategy. The experiment results showed that the system had a pulse function, achieved an efficient, safe, leaving no gas discharging, and the function of intelligent gas emission system was fine.
Keywords :
coal; fans; fuzzy control; mining; unsupervised learning; ventilation; DSP; IPM; SRD; auxiliary fan; control strategy; double fuzzy control model; gas discharging system; heading laneway; intelligent gas emission system; learning capability; normal ventilation; pulse function; self-learning fuzzy model; speed adjusting; underground coal mine; Control system analysis; Fuzzy control; Gas detectors; Information analysis; Intelligent sensors; Intelligent systems; Mathematical model; Velocity control; Ventilation; Wind speed; SRD; fuzzy control system; gas discharging; heading laneway;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358353
