基于多传感器数据融合的仿生机械手研究
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国家自然科学基金资助项目(51303062);中央高校基本科研业务费专项基金资助项目(JCKYQKJC13);吉林大学国家级大学生创新实践基金资助项目(2016A65285)

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Study on Bionic Manipulator Based on Multisensor Data Fusion
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    摘要:

    针对大多数的机械手只能重复执行固定动作,无法自调整和软抓取等特点,设计了基于多传感器数据融合技术的12自由度仿生机械手。机械手利用聚偏氟乙烯(PVDF)传感器采集4根手指的电荷信号,通过电荷/电压(〖WTBX〗Q〖WTBZ〗/〖WTBX〗U〖WTBZ〗)转换、调理、采集电路,提取有用信号送至控制器中并对触、滑、热觉和物体空间状态信息进行融合,获得进一步动作指令,控制机械手调整抓握方式。经过测试分析,设计的机械手可在0.5 s内抓取任意不规则形状及如生鸡蛋等脆性较高等物体,通过融合信息反映出物体的大致形状,实现机械手的仿生功能。

    Abstract:

    Aiming at the problems that most current manipulators can only perform fixed actions, cannot selfadjust and softgrab,a 12DOF bionic manipulator based on multisensor data fusion is designed in this paper.The manipulator uses the PVDF sensor to collect the charge signals of four fingers,through the Q/U transformation,conditioning,acquisition circuit, extract the useful signal and send to the controller,then to integrate the touching, slipping,thermal and space status information of the object in order to obtain further action command. In this way,the bionic manipulator is controlled to adjust the grip mode.After testing and analysis,the design of the manipulator can be wiped within 0.5 s arbitrary irregular shape such as raw eggs and other fragile objects.The integrated information can reflect the approximate shape of the object to achieve the bionic function of the robot.

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千承辉, 李芮林, 李冰洋, 胡梦媛, 辛毅.基于多传感器数据融合的仿生机械手研究[J].压电与声光,2017,39(4):490-493. QIAN Chenghui, LI Ruilin, LI Bingyang, HU Mengyuan, XIN Yi. Study on Bionic Manipulator Based on Multisensor Data Fusion[J]. PIEZOELECTRICS AND ACOUSTOOPTICS

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  • 在线发布日期: 2017-08-14
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