摘要
对矿山电机车防滑器的智能控制系统进行了研究。首先选择pi-sigma模糊神经网络为防滑器的智能控制理论,在此基础上建立控制模型,并用VB编制了防滑器控制软件及工作状态演示界面。
The paper studies the intelligent control system of the anti-skid devicein trolley of mine. It firstly selects pi-sigma fuzzy neural network asthe intelligent control theory for the anti-skid device, then, on thebasis of which, founds the control model, and finally works out thecontrol software and the working demonstration interface for the anti-skid device with VB language.
出处
《矿山机械》
北大核心
2007年第2期61-63,共3页
Mining & Processing Equipment
关键词
防滑器
智能控制
模糊神经网络
粘着
Anti-skid device Intelligent control Fuzzy neural network Adhesion