全断面硬岩掘进机电控系统设计与研究
[Abstract]:Due to the current development of full section hard rock tunneling machine towards more efficient, safe and intelligent, the electrical control system of full section hard rock tunneling machine can not adapt to the underground coal mine environment. In addition, there are some problems such as imprecise position control of hydraulic system and mismatch between the speed of the cutter head and the load change. In view of the above problems, this paper develops and designs an electrical control system suitable for the requirements of safety and explosion protection in coal mines, and designs a monitoring system that can monitor and control the equipment in real time. The remote wireless control system in coal mine can realize the remote wireless remote control system and transmit the control signal, video signal and measurement direction signal wirelessly. There are linear and nonlinear uncertain parameters and external interference in servo valve controlled symmetrical cylinder system in hydraulic system of full-section hard rock tunneling machine. An integral sliding mode controller based on integral chain differentiator is proposed to improve control accuracy. In addition, a propulsion controller based on RBF neural network is proposed for the problems of large fluctuation of propulsion speed and excessive pressure between cutter head and rock during the advance process of full-section hard rock tunneling machine. At the same time, the thrust pressure is added to the input of the control system to improve the tunneling efficiency and reduce the wear of the cutter head. The experimental results show that the design and research presented in this paper can significantly improve the efficiency of underground tunneling and make the construction of coal mine more safe, efficient and intelligent.
【学位授予单位】:辽宁工程技术大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TD632.2
【参考文献】
相关期刊论文 前10条
1 秦晓光;徐辉东;刘林林;;TBM技术在我国煤矿中的应用[J];低碳世界;2016年26期
2 张浩宇;赵东标;朱莹;肖息;;基于遗传算法的电液伺服加载系统控制器优化[J];机械工程与自动化;2016年04期
3 李琳;张峰榕;陶建峰;刘成良;;基于断裂力学的TBM撑靴液压缸O形圈断裂分析[J];中国机械工程;2016年12期
4 周锋;顾临怡;罗高生;陈宗恒;;电液比例式推进系统的自适应反演滑模控制[J];浙江大学学报(工学版);2016年06期
5 董振乐;马大为;姚建勇;王晓锋;;含磁滞补偿的电液伺服系统预设性能跟踪控制[J];中国机械工程;2016年08期
6 荆留杰;张娜;杨晨;;TBM及其施工技术在中国的发展与趋势[J];隧道建设;2016年03期
7 张振;龚国芳;吴伟强;刘统;饶云意;周建军;;硬岩隧道掘进机推进系统姿态自适应控制[J];浙江大学学报(工学版);2015年10期
8 张振;龚国芳;饶云意;吴伟强;刘统;;TBM试验台支撑推进液压系统设计与仿真分析[J];工程设计学报;2015年04期
9 李刚;朱立达;杨建宇;王宛山;;基于CSM模型的硬岩TBM滚刀磨损预测方法[J];中国机械工程;2014年01期
10 周奇才;黄克;赵炯;熊肖磊;;基于改进型滑动窗主元分析的盾构液压系统故障诊断研究[J];中国机械工程;2013年05期
相关硕士学位论文 前7条
1 王伟;智能化超重型岩巷掘进机动载荷识别系统的开发[D];太原理工大学;2015年
2 朱湘衡;TBM刀盘掘进载荷分布特性研究[D];中南大学;2014年
3 董研;基于物联网技术的石油管道监测系统的设计与实现[D];电子科技大学;2014年
4 熊瑛;电液比例溢流阀的MATLAB仿真[D];武汉科技大学;2011年
5 褚召祥;矿井降温系统优选决策与集中式冷水降温技术工艺研究[D];山东科技大学;2011年
6 许琢;掘进机器人PLC控制系统的研究[D];辽宁工程技术大学;2009年
7 苏健行;全断面掘进机综合试验台液压系统及调速特性研究[D];浙江大学;2008年
,本文编号:2305093
本文链接:https://www.wllwen.com/kejilunwen/kuangye/2305093.html