文献类型：会议论文

英文题名：Analytical Hierarchy Process and ANN Applied in Gas Discharging Fuzzy Model

作者：Chen, Ruiyang[1];Wang, Shufang[1];Yang, Zhiyong[2]

第一作者：Chen, Ruiyang

通讯作者：Chen, RY[1]

机构：[1]Beijing Union Univ, Dept Mech Elect, Beijing 100020, Peoples R China;[2]Astronaut Long March Rocket Technol Ltd Co, Beijing 100076, Peoples R China

第一机构：北京联合大学机器人学院

通讯机构：[1]corresponding author), Beijing Union Univ, Dept Mech Elect, Beijing 100020, Peoples R China.|[1141739]北京联合大学机器人学院;[11417]北京联合大学;

会议论文集：8th World Congress on Intelligent Control and Automation (WCICA)

会议日期：JUL 06-09, 2010

会议地点：Jinan, PEOPLES R CHINA

语种：英文

外文关键词：Analytical Hierarchy Process; BP neural network; gas discharge; simulation model

摘要：Researching on gas discharging system on heading laneway in coal mine is extremely urgent since gas exploring accident takes loss immeasurable. In order to satisfy normal ventilation function and exceeding limited gas discharging function, a double model fuzzy control model using MATLAB language in the Simulink dynamic simulation tools is established. Each includes four-input and single-output. In view of the impact of the four inputs on the output effects is different and mutual coupling exists among four inputs, it is crucial to determine weight of input signal respectively. Analytical Hierarchy Process and BP neural network are adopted to calculate weights. Moreover, an integrating method is presented to utilize advantage of subjective judgment and objective analysis fully. On this basis, gas discharge system experimental platform which combines TMS320LF2407DSP and IPM is build. Experimental results and field test results show that the control system has ability of adaptability on-site, good adjust speed performance, easy to maintenance and energy-saving.