基于神经网络的电液位置伺服疲劳试验机控制系统研究  

Research on Control System of Electro-hydraulic Position Servo Fatigue Testing Machine Based on Neural Network

作　　者：张彦会[1] 杨丹丹[2] 史维玮 崔传真[2] 

机构地区：[1]广西科技大学广西汽车零部件与整车技术重点实验室,广西柳州545006 [2]广西科技大学汽车与交通学院,广西柳州545006

出　　处：《机床与液压》2014年第11期56-58,共3页Machine Tool & Hydraulics

基　　金：广西教育厅科研基金资助项目(201102ZD026);广西自然科学基金资助项目(2011GXNSFA018033)

摘　　要：以电液位置伺服控制系统为研究对象,在传统PID控制的基础上,提出一种基于BP神经网络的控制策略。利用神经网络的自适应、自学习的特点,实现对电液位置伺服系统PID参数的自整定。搭建试验机并进行实验,结果表明:BP神经网络PID控制很好地解决了电液伺服控制系统中加载速度及稳定性等问题,是一种实用性很强的控制策略。A control strategy was put forward based on BP neural network in the research of electro-hydraulic position servo con-trol system by the assist of traditional PID control,to implement the PID parameters self-tuning of electro-hydraulic position servo sys-tem,for neural network had the characteristics of self-adaption and self-learning.Through building the testing machine and conducting the experiment,the results show that the BP neural network PID control is a very practical control strategy for its well solution of the e-lectro-hydraulic servo control system’s problems in loading speed and stability.

关 键 词：电液位置伺服控制 疲劳试验机 PID BP神经网络 

分 类 号：TM571.4[电气工程—电器]