摘要
针对轮式装载机在刹车能回收系统中对二次元件排量控制的精确性和快速性要求较高的问题,利用小脑模型神经网络(CMAC)与PID并行控制的设计方法对二次元件排量的控制元件液压比例伺服阀进行控制,说明了神经网络控制方法对非线性系统有着良好的精确性和快速性。
For the problem of higher requirements of exactness and rapidity in displacemetn controlling of secondary component for brake energy recovery system in wheel type loader.This paper analyzes hydraulic proportional servo valve.The result shows that control of neural network method is excellently accurate and fast for nonlinear systems.
出处
《煤矿机械》
北大核心
2012年第5期78-80,共3页
Coal Mine Machinery
关键词
刹车能
电磁比例伺服阀
PID
CMAC
并行控制
brake energy
electromagnetic proportion servo valves
PID
CMAC
parallel control
