悬臂式掘进机自主调速截割控制系统

Boom-type roadheader autonomous speed regulation cutting control system

  • 摘要: 现有悬臂式掘进机截割控制采用较为单一的控制方法且截割头以定速完成巷道断面截割,未综合考虑轨迹规划和自主调速控制,在复杂地质条件下难以实现较高的巷道工程质量。针对上述问题,提出了一种悬臂式掘进机自主调速截割控制系统。首先,建立截割头和煤层的三维模型并导入ABAQUS软件进行有限元分析,获取截割头受到的反作用力与截割臂摆动速度之间的关系,进而得到截割臂摆动速度与截割头加速度之间的关系,利用k−means聚类方法对加速度进行分层。然后,采用层次包围盒算法建立截割头碰撞检测模型,规划合适的矩形巷道断面截割轨迹,经多次离散化生成离散截割轨迹规划点,对截割臂进行运动学逆解计算,获取截割头到达离散截割轨迹规划点所需的截割臂回转弧度、抬升弧度和伸长量,并利用全局最优速度模型求解截割头运动至离散截割轨迹规划点的速度。最后,利用加速度传感器采集截割臂振动信号,根据加速度分层结果确定截割臂目标摆动速度,并通过模糊PID控制使截割臂摆动速度及时准确地随截割头加速度的变化调整到目标摆动速度。实验结果表明:采用模糊PID控制可实现较为快速、无超调量的截割臂摆动速度调节;与定速截割控制相比,采用自主调速截割控制的巷道断面成形质量高,宽度规格偏差降低了37%,高度规格偏差降低了17%,满足MT/T 5009—1994《煤矿井巷工程质量检验评定标准》规定的巷道成形质量要求。

     

    Abstract: The existing boom-type roadheader cutting control adopts a relatively simple control method and the cutting head completes the roadway section cutting at a constant speed. There's no comprehensive consideration of trajectory planning and autonomous speed control. Therefore, it is difficult to achieve high roadway engineering quality under complex geological conditions. In order to solve the above problems, a boom-type roadheader autonomous speed regulation cutting control system is proposed. Firstly, the three-dimensional model of the cutting head and coal seam are established and imported to ABAQUS software for finite element analysis. The relationship between the reaction force on the cutting head and the swing speed of the cutting arm is obtained. Then the relationship between the swing speed of the cutting arm and the acceleration of the cutting head is obtained. The acceleration is stratified by k-means clustering method. Secondly, the collision detection model of the cutting head is established by using the bounding volume hierarchy algorithm. The appropriate cutting trajectory of the rectangular roadway section is planned. The discrete cutting path planning points are generated through multiple discretizations. The inverse kinematics solution of the cutting arm is calculated to obtain the rotation radian, lifting radian and elongation of the cutting arm required for the cutting head to reach the discrete cutting path planning point. The global optimal speed model is used to solve the speed of the cutting head to move to the discrete cutting path planning point. Finally, the acceleration sensor is used to collect the vibration signal of the cutting arm. The target swing speed of the cutting arm is determined according to the acceleration layering result. Through fuzzy PID control, the swing speed of the cutting arm is adjusted to the target swing speed in time and accurately with the change of the cutting head acceleration. The experimental results show that the fuzzy PID control can achieve a relatively fast and non-overshoot swing speed adjustment of the cutting arm. Compared with the constant speed cutting control, the roadway section forming quality using the autonomous speed control cutting control is high. The width specification deviation is reduced by 37%, and the height specification deviation is reduced by 17%. The results meet the requirements of roadway forming quality specified in MT/T 5009-1994 Standard for quality inspection and assessment of coal mine roadway engineering.

     

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