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煤矿智能充填支护机器人承载特性与自适应支护机理研究

Research on load-bearing characteristics and adaptive support mechanism of intelligent solid backfilling support robot for coalmines

  • 摘要: 为了满足固体充填开采技术产能效率提升的需求,实现充填支护机器人在智能充填工作面的自主高效作业,针对充填支护机器人前后双梁承载的特殊性,将后承载梁对前承载梁的影响等效为对同轴铰接点的作用力合力,基于瞬心法建立前后承载梁的力矩平衡方程,定义力平衡区,建立承载能力与外载荷合力作用点位置、承载姿态的关系;采用并联机器人运动学分析方法,得到承载梁输出载荷与驱动机械臂载荷的映射关系;求解不同承载姿态下的结构刚度矩阵,得出前后承载梁的垂向刚度曲线;运用多体系统动力学仿真软件建立液压与机械系统模型,并采用刚度阻尼弹簧近似直接顶,通过联合仿真模拟机器人在不同阶段承载梁与直接顶的相互作用力。结果表明:前后承载梁外载荷合力作用点在前后支撑机械臂与同轴铰接点区域内机器人承载能力较好,后承载梁合力作用点位置影响前承载梁承载能力并改变平衡机械臂工作状态;针对前承载梁能基于姿态参数和机器臂工作阻力求解外载荷大小及合力作用点,但后支撑机械臂工作阻力无法直接反解后承载梁外载荷大小及合力作用点位置;刚度曲线受姿态影响小,近同轴铰接点位置数值大,远离后骤减;承载梁与直接顶作用力在近同轴铰接点附近数值大,远离后骤减,呈“伞尖”状分布,与垂向刚度曲线近似。研究成果从力矩平衡、并联机器人、结构刚度角度揭示了充填支护机器人承载梁与直接顶的相互作用关系,为其承载工况自主识别与自适应支护提供了理论基础以及新的研究思路和方法,有助于推动固体充填开采技术的智能化升级,在提高开采效率和安全性方面具有重要意义。

     

    Abstract: In order to meet the demand for improving the productivity and efficiency of solid backfilling mining technology and achieve the autonomous and efficient operation of backfilling support robots in intelligent filling working faces. In view of the particularity of the front - rear double - beam bearing of the backfilling support robot, the influence of the rear bearing beam on the front bearing beam is equivalent to the resultant force acting on the co - axial hinge point. Based on the instantaneous center method, the moment balance equations of the front and rear bearing beams are established, the force balance area is defined, and the relationship between the bearing capacity, the position of the acting point of the resultant external load and the bearing attitude is established. The kinematic analysis method of parallel robots is used to obtain the mapping relationship between the output load of the bearing beam and the load of the driving robotic arm. The structural stiffness matrix under different bearing postures is solved to obtain the vertical stiffness curves of the front and rear bearing beams. Multibody dynamics simulation software is used to establish the hydraulic and mechanical system models, and the direct roof is approximated by stiffness - damping springs. The interaction forces between the bearing beam of the robot and the direct roof in different stages are simulated through co - simulation. The results show that when the acting point of the resultant external load of the front and rear bearing beams is within the area of the front and rear support robotic arms and the co - axial hinge point, the bearing capacity of the robot is good. The position of the acting point of the resultant force of the rear bearing beam affects the bearing capacity of the front bearing beam and changes the working state of the balance robotic arm. For the front bearing beam, the magnitude of the external load and the position of the acting point of the resultant force can be solved based on the attitude parameters and the working resistance of the robotic arm, but the working resistance of the rear support robotic arm cannot directly solve the magnitude of the external load and the position of the acting point of the resultant force of the rear bearing beam. The stiffness curve is less affected by the attitude, with a large value near the co - axial hinge point and a sharp decrease away from it. The interaction force between the bearing beam and the direct roof is large near the co - axial hinge point and decreases sharply away from it, showing an “umbrella - tip” - shaped distribution, which is approximately similar to the vertical stiffness curve. The research results reveal the interaction relationship between the bearing beam of the backfilling support robot and the direct roof from the perspectives of moment balance, parallel robots, and structural stiffness, providing a theoretical basis and new research ideas and methods for the autonomous identification of bearing conditions and adaptive support of the robot. This is helpful to promote the intelligent upgrading of solid backfilling mining technology and is of great significance for improving mining efficiency and safety.

     

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