薄煤层综采工作面四足巡检机器人行走机构设计及仿真分析

Design and Simulation Analysis of Quadruped Walking Mechanism for Inspection Robot for Fully Mechanized Mining Faces of Thin Coal Seams

  • 摘要: 针对薄煤层综采工作面采高受限、空间狭窄、底板起伏不平,以及人工巡检强度大、安全风险高等问题,提出了一种适用于薄煤层综采工作面复杂环境的四足巡检机器人结构方案,并重点对行走机构进行了设计及仿真分析。该机器人具备行走、越障和爬坡能力,整体采用轻量化与模块化设计,防爆伺服电机集中布置于机身,有效降低运动惯量,提升整机稳定性。行走机构由防爆电机、连杆腿、换挡装置和传动系统组成。通过构建腿部运动学模型,分析曲柄轴安装位置对连杆腿的性能影响,以抬腿高度和驱动力矩大小为目标,建立多目标优化模型,利用MATLAB软件和NSGA-II多目标优化算法对曲柄轴安装位置进行优化,得到两种抬腿模式的高性能安装区域和安装点。为验证行走机构性能,建立四足机器人虚拟样机和薄煤层综采工作面三维模型,利用ADAMS软件对四足机器人跟机巡检过程进行动力学仿真分析,仿真结果表明:机器人能按照预设步态稳定行走,在平面行走、障碍跨越、斜坡爬行以及坡面越障四种工况下均表现出良好的动态稳定性,最大越障高度达118 mm,最大行走速度为15.6 m/min,最大爬坡角度为10°,能够满足薄煤层综采工作面跟机巡检作业需求,对薄煤层综采工作面少人化、智能化开采具有重要意义。

     

    Abstract: To address the challenges of limited mining height, confined space, uneven floor conditions, high labor intensity, and significant safety risks in thin coal seam fully mechanized longwall faces, a quadruped inspection robot tailored for such complex environments is proposed, with particular emphasis on the design and simulation-based analysis of its walking mechanism. The robot can walk, cross obstacles, and climb slopes, featuring a lightweight and modular structure. Explosion-proof servo motors are centrally mounted on the main body to effectively reduce moving inertia and enhance overall stability. The walking mechanism comprises explosion-proof motors, linkage-type legs, a gear-shifting device, and a transmission system. A kinematic model of the leg mechanism is developed to investigate the influence of crankshaft mounting position on leg performance. Taking lift height and driving torque as optimization objectives, a multi-objective optimization model is formulated and solved using the NSGA-II algorithm in MATLAB. This yields high-performance installation regions and optimal mounting points for two distinct leg-lifting modes. To validate the walking mechanism’s performance, a virtual prototype of the quadruped robot and a 3D model of a thin coal seam longwall face are constructed. Dynamic simulations of the robot’s machine-following inspection process are performed in ADAMS. The results demonstrate that the robot reliably executes predefined gaits and exhibits excellent dynamic stability across four operational scenarios: level walking, obstacle crossing, slope climbing, and combined slope-climbing with obstacle traversal. It achieves a maximum obstacle-crossing height of 118 mm, a maximum walking speed of 15.6 m/min, and a maximum climbing angle of 10°, fully satisfying the requirements for machine-following inspection in thin-seam longwall operations. This work provides a practical foundation for advancing minimally manned and intelligent mining in thin coal seam fully mechanized faces.

     

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