摘要
在液压伺服系统中,数据采集容易受到环境温度变化、环境噪声以及液压系统本身产生振动的影响。本文提出在虚拟仪器中利用BP神经网络对数据采集进行补偿,以提高液压伺服控制系统的控制精度。实验结果表明其补偿效果较好。
In the electro-hydraulic servo system, data acquirement is affected by the change of environment temperature, environment noise and the vibration in the process. Neuron networks were put forward to compensate for data acquirement in virtual instrument in order to improve the control precision of hydraulic servo system. According to the result of experiment, the compensation is effective.
出处
《机床与液压》
北大核心
2008年第5期49-51,100,共4页
Machine Tool & Hydraulics
基金
浙江省教育厅科技项目资助(项目编号20051343)
关键词
神经网络
液压伺服系统
虚拟仪器
数据补偿
Neuron network
Hydraulic servo system
Virtual instruments （ VI ）
Data compensation
