大倾角工作面采煤机智能调速控制方法的研究  

Research on the intelligent speed control method of shearer in the working face with large inclined angle

作　　者：李彬 黄克军 韩磊 李涛 LI Bin;HUANG Ke-jun;HAN Lei;LI Tao(Shaanxi Coal Chemical Industry Technology Research Institute Co.,Ltd.,Xi’an 710065,China;National and Local United Engineering Research Center of Green Safe and Efficient Coal Mining,Xi’an 710065,China;Research Center of Coal Green Mining Engineering in Coal Industry,Xi’an 710065,China)

机构地区：[1]陕西煤业化工技术研究院有限责任公司,陕西西安710065 [2]煤炭绿色安全高效开采国家地方联合工程研究中心,陕西西安710065 [3]煤炭行业煤炭绿色开采工程研究中心,陕西西安710065

出　　处：《陕西煤炭》2020年第S01期105-108,共4页Shaanxi Coal

摘　　要：分析国内电牵引采煤机调速过程中存在的问题,提出以变频调速为主,多信息数据融合为辅的最优调速控制算法。采煤机各部件的相互耦合会对调速过程产生不同的影响,通过采集各部件运行状态数据,提出以BP神经网络作为数据融合算法的多信息处理技术,处理后的信息输出作为不同工况下控制采煤机调速的最优化参数。Based on the analysis of the problems existing in the speed control process of domestic electric haulage shearer,an optimal speed control algorithm is proposed,which is mainly based on frequency conversion and supplemented by multi-information data fusion.The coupling of each part of the shearer has different influence on the speed regulation process.By collecting the running state data of each part,the multi-information processing technology with BP neural network as the data fusion algorithm was proposed,and the processed information output was the optimal parameter to control the speed regulation of the shearer under different working conditions.

关 键 词：电牵引采煤机 变频调速 数据融合 BP神经网络 

分 类 号：TD82[矿业工程—煤矿开采] TP391[矿业工程—矿山开采]