文献类型：期刊文献

中文题名：组合赋权在瓦斯排放模型中的应用

英文题名：Analytical hierarchy process and ANN applied in gas discharge fuzzy model

作者：王淑芳[1];杨智勇[2];李一男[1]

第一作者：王淑芳

机构：[1]北京联合大学机电学院;[2]中国航天科技集团航天长征火箭技术有限公司

第一机构：北京联合大学机器人学院

年份：2010

卷号：29

期号：4

起止页码：625-629

中文期刊名：辽宁工程技术大学学报：自然科学版

收录：CSTPCD;;Scopus;北大核心:【北大核心2008】；

基金：国家自然科学基金资助项目(50874110);北京市属高等学校人才强教深化计划资助项目(PHR(IHLB)201008341)

语种：中文

中文关键词：瓦斯排放;层次分析;神经网络;模糊模型

外文关键词：gas discharge; AHP; ANN; fuzzy model

摘要：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.