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2013 (Vol. 5, Issue: 03)
Article Information:

Fuzzy Control Technique of Auxiliary Ventilation in Heading Laneway

Shufang Wang, Debao Zhou and Zhiyong Yang
Corresponding Author:  Shufang Wang 

Key words:  Auxiliary ventilation, DTC, heading laneway, self learning fuzzy controller, , ,
Vol. 5 , (03): 914-921
Submitted Accepted Published
June 19, 2012 July 18, 2012 January 21, 2013

Aimed at air quantity requirement and energy conservation at normal ventilation as well as safety and quickly at methane discharging, this study discussed the design process of self learning fuzzy controller based on basic fuzzy model. Firstly, the control system block is described. Then basic fuzzy model is introduced. Auxiliary ventilation is time-varying parameters, nonlinear and large hysteresis system. Therefore, the design includes the normalization, reference model, time-delay, sample cycle, calculation method and control rule modification. The partial fan speed adjustment adopts Direct Torque Control (DTC). Based on theoretical analysis and simulation, combing DSP chip with Intelligent Power Module (IPM), auxiliary ventilation fuzzy control adjusting speed experiment system is established. Experimental results have shown that the system can safely and efficiently fulfill the function of normal ventilation and methane discharging.
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  Cite this Reference:
Shufang Wang, Debao Zhou and Zhiyong Yang, 2013. Fuzzy Control Technique of Auxiliary Ventilation in Heading Laneway.  Research Journal of Applied Sciences, Engineering and Technology, 5(03): 914-921.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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