基于接触状态识别的机器人操作充电枪寻孔策略
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浙江工业大学

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TP273

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Hole-finding strategy for charging gun operated by robot based on contact state recognition
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College of Information Engineering, Zhejiang University of Technology

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    摘要:

    针对机器人操作充电枪寻孔过程,研究一种基于接触状态识别的寻孔策略。基于以接触力为基本特征点的支持向量机(SVM)的线性分割算法,提出一种寻孔接触状态识别方法。针对端面接触状态、两点接触状态和三点接触状态,分别给出了充电枪插头坐标系下的向心力方向、侧向力方向和扭矩方向的寻孔速度轨迹规划方法,提出了一种跟踪Z方向寻孔装配力与XY平面寻孔速度轨迹的力/位混合控制方法,最后基于6自由度协作机器人、充电枪插头及插座的实验平台,通过寻孔操作实验验证了所提方法的正确性和有效性。

    Abstract:

    Based on the recognition of the contact state, a hole-finding strategy is researched for the operation of the Electric Vehicle Charging Gun (EVCG). A method for identifying the contact state in the EVCG hole-finding process is proposed based on the linear segmentation algorithm of Support Vector Machine (SVM) with contact force as the basic feature. For the end-face contact state, two-point contact state, and three-point contact state, the hole-finding velocity trajectory planning methods of the centripetal force direction, the lateral force direction and the torque direction are respectively given under the coordinate system of the charging gun plug. Furthermore, a hybrid force/position control method is proposed for tracking the Z-direction hole-finding assembly force and the XY plane hole-finding velocity trajectory. Finally, based on the constructed 6-DOF collaborative robot and EVCG and its holder as the experimental platform, the accuracy and effectiveness of the proposed strategy are verified through actual experiments.

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历史
  • 收稿日期:2020-12-29
  • 最后修改日期:2021-03-16
  • 录用日期:2021-03-29
  • 在线发布日期: 2021-04-26
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