为了解决煤矿井下掘进巷道瓦斯排放问题,对瓦斯排放系统进行了深入的理论分析,建立了常规四输入单输出常规双模模糊控制模型,采用层次分析法和BP神经网络方法分别计算四个输入之间的权值,利用组合赋权综合主观分析和客观计算的优点。组建了基于TI公司TMS320LF2407DSP与IPM相结合的瓦斯排放系统实验平台,实验结果以及现场测试表明:显示该控制系统具有现场适应能力强,调速性能好、便于维护、节能等优势。
Based on the study on heading conditions in coal mine, a dual-mode gas discharge fuzzy model is developed in this study. In the model, there is one reciprocity exits among four inputs. Consequently, it is difficult to assign weights among four inputs. Analytical Hierarchy Process (AHP) and ANN methods are adopted to decouple four inputs and determine four weight values. To exert preponderance, a new synthesized method is proposed. Also, altering weight and measurement is considered. Based on theoretical analysis and simulation, a gas discharge experiment system involving TMS320LF2407DSP and Intelligent Power Module (IPM) is established. The real-time control system has been programmed using C mixed Assemble language. The experimental system achieves gas discharge fttzzy control adjustable-speed system function. Experimental results demonstrate that fuzzy control model and DTC adjustable-speed system are effective to perform the function required.