选矸机器人柔顺机械抓手机构设计及抓取控制

Mechanism design and grasping control of compliant mechanical gripper for gangue sorting robot

  • 摘要: 机械抓手是智能选矸机器人实现煤矸分选的关键。在煤矸智能分选过程中,存在矸石粒度差异大、表面湿滑,动态抓取冲击力大、长时间连续作业机械疲劳等问题,导致煤矸综合分选率低。针对上述问题,采用被动柔顺机构与主动柔顺控制相结合的方法,设计了一种新型的柔顺机械抓手。首先,分析选矸机器人分选流程,基于矸石运动学特征及物理特性,提出具有被动柔顺机构的机械抓手方案。采用柔性传动元件替代传统刚性结构,在爪片接触面设置橡胶缓冲垫片,并集成万向球螺柱、扭簧与包胶轴承构建多级缓冲体系。通过优化机械抓手结构参数,进一步提高机械抓手系统刚度,延长其使用寿命,增强其抓取稳定性。其次,基于力、位移和速度等多源实时反馈数据,集成导纳−阻抗混合控制器,实现矸石抓取过程中的自适应柔顺控制。最后,通过搭建视觉识别定位系统获取矸石位置和粒度参数,设计多变量矸石分选试验:选取3类材质、3种粒度等级的样本开展50组对比试验,测试柔顺机械抓手的抓取性能,验证柔顺抓取控制算法的有效性。试验表明:设计的柔顺机械抓手能够适应较大的矸石粒度范围,降低动态抓取冲击力,减少机械损耗,提高矸石抓取可靠性,矸石综合分选率达94%。柔顺机械抓手机械机构设计合理,基于参数优化的机械抓手刚度提升方法可行,基于导纳−阻抗混合控制的柔顺抓取控制算法有效。研究成果将为提升选矸机器人综合分选率和延长机械抓手使用寿命提供技术支撑。

     

    Abstract: Mechanical gripper is the key to realize coal gangue separation by intelligent gangue separation robot. In the process of intelligent separation of coal and gangue, there are some problems such as large difference of gangue particle size, wet and slippery surface, large impact force of dynamic grabbing and mechanical fatigue of long-term continuous operation, which lead to low comprehensive separation rate of coal and gangue. In view of the above problems, this paper designs a new type of compliant mechanical gripper by combining passive compliant mechanism with active compliant control. Firstly, the sorting process of gangue sorting robot is analyzed. Based on the kinematic characteristics and physical characteristics of gangue, a mechanical gripper scheme with passive compliant mechanism is proposed. The flexible transmission element is used to replace the traditional rigid structure, the rubber buffer gasket is set on the contact surface of the claw, and the multi-stage buffer system is constructed by integrating the universal ball stud, the torsion spring and the rubber-coated bearing. By optimizing the structural parameters of the mechanical gripper, the stiffness of the mechanical gripper system is further improved, its service life is prolonged, and its grasping stability is enhanced. Secondly, based on the multi-source real-time feedback data such as force, displacement and velocity, the admittance-impedance hybrid controller is integrated to realize the adaptive compliance control in the process of gangue grabbing. Finally, the position and particle size parameters of gangue are obtained by building a visual recognition and positioning system, and a multivariate gangue sorting test is designed : 50 groups of samples of 3 kinds of materials and 3 kinds of particle size grades are selected to carry out 50 groups of comparative tests to test the grasping performance of the compliant mechanical gripper and verify the effectiveness of the compliant grasping control algorithm. The test shows that the compliant mechanical gripper designed in this paper can adapt to a larger range of gangue particle size, reduce the dynamic grasping impact force, reduce the mechanical loss, improve the reliability of gangue grasping, and the comprehensive separation rate of gangue is 94%. The experiment proves that the design of the mechanical mechanism of the compliant mechanical gripper is reasonable, the stiffness improvement method of the mechanical gripper based on parameter optimization is feasible, and the compliant grasping control algorithm based on admittance-impedance hybrid control is effective. The research results will provide technical support for improving the comprehensive sorting rate of the gangue sorting robot and prolonging the service life of the mechanical gripper.

     

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