基于神经网络PID的刨煤机工作面液压支架控制系统  

Control system of hydraulic powered support on coal-plough face based on neural network PID

作　　者：李晓豁[1] 谭兵[1] 

机构地区：[1]辽宁工程技术大学机械工程学院,辽宁阜新123000

出　　处：《辽宁工程技术大学学报（自然科学版）》2009年第1期90-93,共4页Journal of Liaoning Technical University (Natural Science)

基　　金：国家自然科学基金资助项目(59774033);国家安全生产监督管理局;国家煤矿安全监察局安全生产科技发展指导性计划资助项目(05-082);辽宁省教育厅创新团队资助项目(2007T0683);辽宁省大型工矿装备实验研究中心(辽宁省高校重点实验室)开放基金资助项目(07-61)

摘　　要：为提高刨煤机的工作效率及实现刨煤机工作面的无人化发展,提出一种基于BP神经网络PID控制的液压支架控制系统,该系统由主控机和子控机组成,在子控机中针对刨煤机液压支架的运行特点,以液压缸作为被控对象,采用神经网络PID的方法控制该系统并利用Matlab进行了仿真,其结果表明,该系统与常规PID控制系统相比具有更好的动态特性及稳态性能,提高了控制系统的实时性和控制精度,有利于刨煤机工作面的智能化发展。In order to improve the work efficiency of the plough and realize the unmanned development, a control system for hydraulic powered support based on neural network PID is put forward. This system is composed of principal controller and subordinate controller and in view of the operating characteristics of the hydraulic support of the coal plough the controlled object is hydraulic cylinder. The system is controlled with neural network PID method and is simulated with Matlab. Result shows that compared with the regular control system, this system possesses better dynamic characteristics and static performace and raises the real-time and control precision of the control system, which is beneficial for the intelligent development in coal-plough face.

关 键 词：刨煤机 液压支架 控制 神经网络PID 

分 类 号：TD421.6[矿业工程—矿山机电] TD355