基于模糊控制的局部通风机智能控制系统

 针对传统矿井局部通风机控制系统存在的缺陷,设计了基于模糊控制理论的局部通风机智能控制系统.引入巷道温度、瓦斯浓度及巷道等效深度等参数,应用模糊控制理论建立变频器控制电压与现场温度、瓦斯浓度的函数关系,并建立考虑巷道等效深度影响的变频器控制电压计算方法,利用变频调速技术,实现了对局部通风机通风量的智能控制.实际运行结果显示,该智能控制系统能够保证掘进巷道的通风安全,可节约36.9%的电力消耗,且可实现局部通风机工作效率的最大化.

Intelligent control system of local fan based on fuzzy control

An intelligent control system of local fan based on fuzzy control theory was designed in view of the defects of control system of local fan in conventional mines. The roadway parameters of temperature, gas concentration and the equivalent depth were introduced, the functional relationship of voltage of frequency converter and field temperature and gas concentration was established by fuzzy control theory, and the algorithm of voltage of frequency converter based on the influence of equivalent depth of roadway was established to realize the intelligent control of local fan by frequency control. Practical operating results show that the system can guarantee the ventilation safety of excavation roadway, save 36.8% of electricity consumption and maximize the efficiency of the local fan.