模糊神经网络滑模控制在轧机中的应用  

The Application of Fuzzy Neural Network Sliding Mode Control in Mills

作　　者：杨逢瑜[1] 杨云[1] 吴军[1] 陈艳丽[1] 王耀[1] 吴亚瑾[1] 

机构地区：[1]兰州理工大学流体动力与控制学院,甘肃兰州730050

出　　处：《机床与液压》2009年第3期122-123,98,共3页Machine Tool & Hydraulics

摘　　要：针对液压轧机不确定的压下液压伺服系统的跟踪控制问题,设计了一种基于神经网络的滑模控制器。仿真与试验结果表明,该控制器使系统有较强的动态特性和稳态特性,并提高了系统的鲁棒性和跟踪性能。In view of the uncertain tracking control problem for the mill hydraulic pressure down in hydraulic servo system, a kind of sliding controller based on neural network was designed. The simulation result shows that the controller strengthens the dynamic and the steady-state characteristics of the system, and improves the robustness and tracking performance of the system.

关 键 词：液压轧机 模糊神经网络 滑模 不确定性 

分 类 号：TM571[电气工程—电器]