LAPSE:2023.9966v1
Published Article
LAPSE:2023.9966v1
Research on Autonomous Cutting Method of Cantilever Roadheader
Ziyue Xu, Minfu Liang, Xinqiu Fang, Gang Wu, Ningning Chen, Yang Song
February 27, 2023
Abstract
Roadway excavation is the leading project in coal mining, and the cantilever roadheader is the main equipment in roadway excavation. Autonomous cutting by cantilever roadheaders is the key to realize safe, efficient and intelligent tunneling for underground roadways. In this paper, the working device of a cantilever roadheader was simplified into a series of translation or rotation joints, and the spatial pose model and spatial pose coordinate system of the roadheader were established. Using the homogeneous transformation matrix and the robot-related theory, the space pose transformation matrix of the roadheader and the space pose equation of the cutting head of the roadheader were derived. The forward kinematics and inverse kinematics of the cutting head were solved by using the D-H parameter method and an inverse transformation method. The location coordinates of the inflection point of the cutting process path for a rectangular roadway were determined, and cutting path planning and control were carried out based on the inflection point coordinates. Finally, MATLAB software was used to simulate the limit cutting area of the cutting head and the cutting process path. The simulation results showed that the limit cutting section had a bulging waist shape, the boundary around the roadway was flat, and the roadway cutting error was controlled within 1mm, which verified the reliability and effectiveness of the autonomous cutting theory of the roadheader. It lays a mathematical model and theoretical foundation for the realization of “autonomous operation of unmanned tunneling equipment”.
Keywords
automatic cutting, cantilever roadheader, cutting path planning, MATLAB simulation, spatial pose matrix
Suggested Citation
Xu Z, Liang M, Fang X, Wu G, Chen N, Song Y. Research on Autonomous Cutting Method of Cantilever Roadheader. (2023). LAPSE:2023.9966v1
Author Affiliations
Xu Z: School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Liang M: School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Fang X: School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Wu G: School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Chen N: School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Song Y: School of Mines, China University of Mining and Technology, Xuzhou 221116, China
Journal Name
Energies
Volume
15
Issue
17
First Page
6190
Year
2022
Publication Date
2022-08-25
ISSN
1996-1073
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Original Submission
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PII: en15176190, Publication Type: Journal Article
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LAPSE:2023.9966v1
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https://doi.org/10.3390/en15176190
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Feb 27, 2023
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