Modeling of electro-hydraulic position servo systems of pump-controlled cylinder

被引：0

作者：

Gao, Qiang ^{[1
]}

Jin, Yong ^{[2
]}

Wang, Li ^{[1
]}

Hou, Yuan-Long ^{[1
]}

Ji, Li-Jun ^{[1
]}

机构：

[1] School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210014, Jiangsu, China

[2] Military Representative Office of the General Armaments Department in Wuhan Area, Wuhan 430073, Hubei, China

来源：

Binggong Xuebao/Acta Armamentarii | 2011年 / 32卷 / 08期

关键词：

Genetic algorithms - Pumps - Neural networks - Servomechanisms - Cylinders (shapes);

D O I：

暂无

中图分类号：

学科分类号：

摘要：

An exact mathematic model is difficult to establish for the electro-hydraulic position servo systems of pump-controlled cylinder because of its nonlinearity and time variability. The mechanism modeling and intelligent modeling techniques were proposed to order to solve the problem. The simulation results show that the mechanism modeling technique has poor generalization and low modeling accuracy, otherwise, the fuzzy modeling and BP neural-network modeling technique can fit the nonlinearity and time-variability of the system. BP neural network modeling based on genetic algorithm offers a better solution to the local minimum in BP neural network, so the neural network modeling based on genetic algorithm has better generalization and high modeling accuracy.

引用

页码：950 / 956