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

摘要：

Aiming at the problem that control of advancing support under pressure system lag seriously and automatic advancing support following shearer is not in time in Auto- Sequence (ASQ) of hydraulic support on fully mechanized coal mining face, the paper proposes a solution of adaptive advancing support system based on Neural Network PID. The adaptive 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. Finally, the paper uses SIMULINK to carry out simulation based on Neural Network PID and conventional PID. Results show that neural network PID controller has better performance than conventional PID controller and the neural network PID controller can realize adaptive advancing support system.

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

作者: Guangxin Zhou Wei Li Liping Zhang Qigao Fan

作者单位: School of Mechanical & Electrical EngineeringChina University of Mining & TechnologyXuZhou, China School of Mechanical & Electrical Engineering China University of Mining & Technology XuZhou, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 168-171

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）