Title :
Fuzzy Control of Partial Fan in Heading Laneway
Author :
Wang, Shufang ; Zhao, Linhui ; Lei, Baozhen ; Yang, Zhiyong
Author_Institution :
Sch. of Mech. Electron., Beijing Union Univ., Beijing, China
Abstract :
Air flow character and gas mathematical mode of heading laneway in coalmine is researched in detail to tackle with normal ventilation and gas discharging problem. Combining with ventilation requirements and safety regulation in coalmine, control strategy which aims at both safety and energy saving is established at length. Moreover, conventional double fuzzy control model is found to carry out two work mode, normal ventilation and gas discharging. Since four input signals affect output in different degree, three layers BP neural network is employed to compute weight. Direct torque control style is applied to perform speed adjusting of partial fan. In order to testify the control strategy, an experiment platform including DSP and IPM is founded. The experiment results show that the control strategy is effective to fulfill the function of ventilation and gas discharge in heading laneway.
Keywords :
backpropagation; coal; discharges (electric); fans; fuzzy control; mining; neural nets; safety; torque control; ventilation; BP neural network; DSP; IPM; air flow character; coalmine; direct torque control; energy saving; fuzzy control; gas discharging problem; gas mathematical mode; heading laneway; partial fan; ventilation problem; Air safety; Automation; Computer networks; Fuzzy control; Neural networks; Rockets; Space technology; Testing; Torque control; Ventilation; fuzzy control model; gas discharging; heading laneway;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.407