Research on Adaptive Advance System of Hydraulic Support Based on Neural Network PID

摘要：

Aiming at the problem that contact advance lags seriously and automatic advance with shearer is not in time in ASQ of hydraulic support on fully mechanized coal mining face, this paper proposed a solution of adaptive advance system based on Neural Network PID. This advance method can effectively reduce invalid waiting time in advance and the probability that friction between top beam and roof increases, and thus to improve advancing velocity and achieve continuity of coal mining automation. This paper finally used SIMULINK to carry out simulation. Results show that Neural Network PID controller has better performance than conventional PID controller.

关键词： hydraulic support automatic control advancing neural network PID control

作者: Guangxin Zhou Wei Li Liping Zhang

作者单位: CMEE,China University of Mining and Technology,XuZhou,JiangSu,China CMEE,China University of Mining and Technology,XuZhou,JiangSu,China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 758-763

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）