基于超深井提升系统模糊神经调速控制方式的研究  

Research on fuzzy neural speed control method based on ultra deep well hoisting system

作　　者：杨锦涛 吴金尘 YANG Jin-tao;WU Jin-chen(Changsha Mining Research Institute Co.,Ltd.,Changsha 410000,China)

机构地区：[1]长沙矿山研究院有限责任公司,湖南长沙410000

出　　处：《世界有色金属》2021年第13期162-163,共2页World Nonferrous Metals

摘　　要：超深井提升控制系统的动力学研究和控制系统研究是目前矿山领域新兴的研究方向,本文以模糊控制和神经网络控制相结合,提出一种模糊神经网络控制提升机控制方式,经过大量的试验数据分析,该系统具有较强鲁棒性、稳定性好、静差小等优点,完全能够满足矿山超深井控制系统的需求。The dynamics research and control system research of ultra deep mine hoist control system is a new research direction in the mining field.In this paper,a fuzzy neural network control hoist control method is proposed based on the combination of fuzzy control and neural network control.Through a large number of test data analysis,the system has strong robustness,good stability,small static error and other advantages,It can fully meet the requirements of mine ultra deep well and heavy load control system.

关 键 词：超深井 提升动力学 模糊神经网络控制 

分 类 号：TD633[矿业工程—矿山机电]