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.
出处
《机床与液压》
北大核心
2009年第3期122-123,98,共3页
Machine Tool & Hydraulics
关键词
液压轧机
模糊神经网络
滑模
不确定性
Hydraulic mill
Fuzzy neural network
Sliding mode
Uncertainty
