文献类型：会议论文

英文题名：Research on adjust speed control system of partial fan

作者：Wang, Shufang[1];Chen, Ruiyang[1];Fang, Xin[1];Wang, Jianbo[2]

第一作者：王淑芳

通讯作者：Wang, SF[1]

机构：[1]Beijing Union Univ, Sch Mech Elect, Beijing 100020, Peoples R China;[2]Luxin investment consultat Ltd Co, Luan 046204, 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, Sch 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：IEEE International Conference on Automation and Logistics

会议日期：AUG 18-21, 2007

会议地点：Jinan, PEOPLES R CHINA

语种：英文

外文关键词：gas discharging; heading laneway; self learning fuzzy control model; DSP

摘要：Combining with ventilation requirements and safety regulation in coalmine, control strategy which aims at both safety and energy saving is established at length. Moreover, conventional double fuzzy control model is found to carry out two work mode, normal ventilation and gas discharging. Since four input signals affect output in different degree, three layers BP neural network is employed to compute weight. Based on conventional fuzzy model, self learning fuzzy model for partial fan is build to tackle with normal ventilation and gas discharging problem. Direct torque control style is applied to perform speed adjusting of partial fan. In order to testify the control strategy, an experiment platform including DSP and IPM is founded. The experiment results show that the control strategy is effective to fulfill the function of ventilation and gas discharge in heading laneway.