首页> 外文期刊>Mathematical Problems in Engineering >Path Correction of the Boom Road-Header in Coal Mining Based on State Estimation
【24h】

Path Correction of the Boom Road-Header in Coal Mining Based on State Estimation

机译:基于状态估计的煤矿爆动路线路径校正

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Trajectory planning and tracking control algorithm based on a position and orientation deviation model are proposed to achieve path correction for the mining boom road-header working underground. The proposed strategy is assessed to be feasible and potentially practicable by simulations, from which the following statements are summarized. Firstly, trajectory planning is necessary since different trajectories correspond to different scenarios about undesirable excavation space, slipping level, and power consumption. Secondly, using the proposed tracking control algorithm, the road-header is guided back onto the expected path in limited adjusting steps, with smoothly varying rotation speeds of the driving wheels and regularly reducing pose errors. Lastly, it shows that by implying the SVD-unscented Kalman filtering in the tracking control, the adverse impacts of process and measurement noises are appeased obviously. This research provides an advisable modeling and valuable simulation for the road-header to achieve robotic operation underground.
机译:提出了基于位置和方向偏差模型的轨迹规划和跟踪控制算法,实现了地下矿山繁荣路线的路径校正。拟议的策略被评估是可行的,并且可以通过模拟来概括和潜在的可行性,从中汇总了以下陈述。首先,轨迹规划是必要的,因为不同的轨迹对应于不希望的挖掘空间,滑动水平和功耗的不同场景。其次,使用所提出的跟踪控制算法,道路报头被引导回到有限的调节步骤中的预期路径,具有平稳变化的驱动轮的旋转速度,并定期减少姿势误差。最后,它表明,通过暗示跟踪控制中的SVD无效的卡尔曼滤波,过程和测量噪声的不利影响明显。该研究为道路标头提供了一种可取的建模和宝贵模拟,以实现地下机器人操作。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2019年第22期|5351474.1-5351474.13|共13页
  • 作者单位

    China Univ Min & Technol Beijing Beijing 100083 Peoples R China;

    China Univ Min & Technol Beijing Beijing 100083 Peoples R China;

    China Univ Min & Technol Beijing Beijing 100083 Peoples R China;

    China Univ Min & Technol Beijing Beijing 100083 Peoples R China;

    China Univ Min & Technol Beijing Beijing 100083 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号