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Travel Dynamics Analysis and Intelligent Path Rectification Planning of a Roadheader on a Roadway

Author

Listed:
  • Xiaodong Ji

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Minjun Zhang

    (Steta Key Laboratory of Tribology, Department of Precision Instruction, Tsinghua University, Beijing 100084, China)

  • Yuanyuan Qu

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Hai Jiang

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

  • Miao Wu

    (School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China)

Abstract

The tunneling work belongs to the group operation of semi-closed space, and the work is difficult with a high risk coefficient. It is an urgent requirement of coal mining to achieve unmanned and intelligent tunneling work. The path rectification planning of roadheaders is a necessary step before roadway cutting. In the traditional dynamic modeling analysis of roadhead tracks, problems such as compaction resistance, bulldozing resistance, steering resistance, tunnel dip angle, ditching, and obstacle-crossing capacity are not considered. In order to approximate the kinematic and dynamic parameters of a roadheader’s deviation correction under actual working conditions, this paper establishes kinematic and dynamic models of a roadheader’s path rectification at low speeds and under complex working conditions, and calculates the obstacle-crossing ability of roadheaders in the course of path rectification by modes based on roadway conditions, crawler resistance, and driving performance of the roadheader. Field experiments were carried out to verify the effectiveness of the dynamic model. The dynamic roadheader model was used in combination with actual working conditions of roadways in order to establish a roadway grid model. The grid model was simplified using rectifying influence degree and distance cost. The roadheader dynamic model and grid model were then used to propose a path rectification planning and tracking algorithm based on particle swarm optimization of the actual roadway conditions and roadheader driving performance. Finally, the effectiveness and superiority of the algorithm were verified using MATLAB simulation. The algorithm can provide strong technical guarantee for the intelligence of roadheader and unmanned mining. The results presented here can provide theoretical and technical support for the structural optimization and intelligent travel control of roadheaders.

Suggested Citation

  • Xiaodong Ji & Minjun Zhang & Yuanyuan Qu & Hai Jiang & Miao Wu, 2021. "Travel Dynamics Analysis and Intelligent Path Rectification Planning of a Roadheader on a Roadway," Energies, MDPI, vol. 14(21), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7201-:d:670418
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    References listed on IDEAS

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    1. Yiyu Lu & Songqiang Xiao & Zhaolong Ge & Zhe Zhou & Kai Deng, 2016. "Rock-Breaking Properties of Multi-Nozzle Bits for Tree-Type Drilling in Underground Coal Mines," Energies, MDPI, vol. 9(4), pages 1-17, March.
    2. Dinh Thanh Viet & Vo Van Phuong & Minh Quan Duong & Quoc Tuan Tran, 2020. "Models for Short-Term Wind Power Forecasting Based on Improved Artificial Neural Network Using Particle Swarm Optimization and Genetic Algorithms," Energies, MDPI, vol. 13(11), pages 1-22, June.
    3. Wilko Heitkoetter & Wided Medjroubi & Thomas Vogt & Carsten Agert, 2019. "Comparison of Open Source Power Grid Models—Combining a Mathematical, Visual and Electrical Analysis in an Open Source Tool," Energies, MDPI, vol. 12(24), pages 1-15, December.
    4. Jarosław Joostberens & Arkadiusz Pawlikowski & Dariusz Prostański & Krzysztof Nieśpiałowski, 2021. "Method for Assessment of Operation of Analog Filters Installed in the Measuring Lines for Electrical Quantities of a Mining Machine’s Converter Power Supply System," Energies, MDPI, vol. 14(9), pages 1-15, April.
    5. Piotr Cheluszka, 2020. "Optimization of the Cutting Process Parameters to Ensure High Efficiency of Drilling Tunnels and Use the Technical Potential of the Boom-Type Roadheader," Energies, MDPI, vol. 13(24), pages 1-23, December.
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    Cited by:

    1. Jianjun Wu & Ziyue Xu & Xinqiu Fang & Guangliang Shi & Haiyan Wang, 2022. "Research on Path Planning and Control Method for Secondary Autonomous Cutting of Cantilever Roadheader in a Large-Section Coal Roadway," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    2. Olga Zhironkina & Sergey Zhironkin, 2023. "Technological and Intellectual Transition to Mining 4.0: A Review," Energies, MDPI, vol. 16(3), pages 1-37, February.
    3. Jicheng Wan & Xuhui Zhang & Chao Zhang & Wenjuan Yang & Mengyu Lei & Yuyang Du & Zheng Dong, 2023. "Vision and Inertial Navigation Combined-Based Pose Measurement Method of Cantilever Roadheader," Sustainability, MDPI, vol. 15(5), pages 1-16, February.

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