摘要
以掘进机变频调速系统为对象开展探究。在分析变频调速控制器结构的基础上,基于神经网络和遗传算法开展了优化研究,设计了一种变频调速系统,希望能够为其他矿井相似工程的开展提供帮助与借鉴。
The research on the variable-frequency speed control system technology of the tunneling machine was carried out. Based on the analysis of the structure of frequency conversion speed controller, this paper carried out the optimization research based on neural network and genetic algorithm and designed a variable-frequency speed control system. It is hoped to provide help and reference for the development of similar projects in other mines.
作者
祝双强
ZHU Shuangqiang(Electromechanical Power Department, Yangquan Coal Industry (Group) Co., Ltd., Yangquan 045000, Shanxi, China)
出处
《能源与节能》
2019年第10期120-121,共2页
Energy and Energy Conservation
关键词
掘进机
变频调速
神经网络
遗传算法
tunneling machine
frequency conversion speed control
neural network
genetic algorithm