煤炭工程 ›› 2022, Vol. 54 ›› Issue (2): 172-176.doi: 10.11799/ce202202030

• 装备技术 • 上一篇    下一篇

基于模糊数学的掘进机截割头转速分档预测方法

杨阳,王鹏江,吉晓冬,沈阳,王东杰   

  1. 1. 石家庄煤矿机械有限责任公司
    2. 中国矿业大学(北京)机电与信息工程学院
    3. 中国矿业大学(北京)
  • 收稿日期:2021-06-17 修回日期:2021-08-06 出版日期:2022-02-14 发布日期:2022-07-06
  • 通讯作者: 杨阳 E-mail:13503335917@163.com

Prediction control for cutting head speed of roadheader based on fuzzy mathematics and IPSO-BP algorithm

  • Received:2021-06-17 Revised:2021-08-06 Online:2022-02-14 Published:2022-07-06

摘要: 针对悬臂式掘进机在井下掘进过程中截割载荷识别困难的问题,提出了一种基于模糊数学的掘进机截割头转速分档预测方法。通过分析掘进机截割头工作过程,基于模糊数学将井下实测的多传感器信息进行信息融合,得到截割头载荷的预测输出。依据不同工况将截割头转速分为四个档位,并进行了实验验证,为研究不同工况下截割头转速自适应控制提供了理论和实践基础。

关键词: 悬臂式掘进机, 载荷预测, 模糊数学, 智能截割

Abstract: This paper proposes a fuzzy mathematical method for predicting the speed of the cutting head of a cantilever roadheader based on fuzzy mathematics, in view of the difficulty of identifying the cutting load in the process of underground roadheading. By analysing the working process of the cutting head of the roadheader and fusing the information from multiple sensors measured underground, the predicted output of the cutting head load is obtained and the cutting head speed is divided into four gears, which provides a basis for in-depth research on the adaptive control of the cutting head speed under different working conditions.

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