智能化综采工作面采煤机的定位试验研究
Positioning Test Study of Intelligent Integrated Mining Face Coal Miner
翟志强1
作者信息
- 1. 华阳新材料科技集团有限公司新能源蓄能新材料事业部,山西 阳泉 045000
- 折叠
摘要
为解决采煤机当前定位不准确影响其智能化、自动化的开采效果,在对采煤机基本结构和工作模式简单研究的基础上,提出基于果蝇优化卡尔曼滤波算法为核心将惯性传感器差分布的惯性导航定位方法,最后通过构建试验平台对采煤机的初始位置校准效果、姿态定位效果和位置定位效果进行验证,并取得理想效果,为后续推进采煤机的智能化定位功能的实现奠定理论基础.
Abstract
In order to solve the problem of inaccurate positioning of coal mining machine affecting its intelligent and automated mining effect,on the basis of a simple study of the basic structure and working mode of coal mining machine,an inertial navigation and positioning method is proposed based on the Drosophila optimization Kalman filter algorithm as the core of the inertial sensors arranged differentially,and finally,through the construction of a test platform for the coal mining machine,the effect of the initial position calibration,the effect of the attitude positioning and the effect of the position location is verified,and ideal results are achieved for the coal mining machine.Verification is carried out and ideal results are achieved,which lays a theoretical foundation for the subsequent advancement of the implementation of intelligent positioning function of coal mining machine.
关键词
采煤机/果蝇优化卡尔曼滤波算法/惯性导航定位/差分布置/定位Key words
coal mining machine/drosophila optimisation kalman filter algorithm/inertial navigation positioning/differential arrangement/positioning引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据