船舶运动模拟器阀控非对称缸液压系统神经网络辨识  

Neural network identification on asymmetric hydraulic cylinder controlled by valve in ship motion simulator

作　　者：陈浩锋[1] 戴一帆[1] 杨军宏[1] 

机构地区：[1]国防科技大学机电工程与自动化学院,湖南长沙410073

出　　处：《液压气动与密封》2005年第4期6-9,共4页Hydraulics Pneumatics & Seals

摘　　要：本文在分析船舶运动模拟器阀控非对称缸液压系统存在较大非线性的基础上,利用神经网络具有逼近任意非线性函数且具有自学习与自适应能力,应用BP算法对液压系统进行辨识。辨识结果表明,辨识模型接近于实际系统,为模拟器液压系统控制奠定了基础。Base on studying the nonlinear about the hydraulic system on asymmetric hydraulic cylinder controlled by valve in ship motion simulator, a new adaptive identification method was approached for a nonlinear hydraulic system using neural networks and a neural network is used to identify the hydraulic system using enlarged BP algorithm, The neural nonlinear model is closed to the actual model, lay a fundation for the control of hydraulic system in ship motion simulator.

关 键 词：阀控非对称缸 船舶运动模拟器 神经网络辨识 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TH137[自动化与计算机技术—控制科学与工程]