基于梯度强化的微机器人磁场驱动建模研究
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TH122

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国家自然科学基金(51807079)、江苏省自然科学基金(BK20200623)、江苏省“六大人才高峰”高层次人才项目(GDZB-138)资助


Research on magnetic field drive modeling of micro robot based on gradient intensification
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    摘要:

    磁场驱动技术在微机器人操作领域已成为当前的研究热点。 设计了一种梯度增强型磁场驱动系统,首先建立铁芯末端 模型并设计末端形状,利用有限元法优化铁芯线圈参数以达到磁感应强度、磁场梯度、磁场均匀性和工作空间等系统指标要求; 其次对所设计的磁驱系统进行 ANSYS 仿真和实验测试,得出该磁驱系统工作空间中心的最大磁感应强度为 73. 93 mT,工作空 间中心的最大磁场梯度为 8. 68 T/ m,与其他文献研究的梯度磁场驱动系统进行比较,性能提升明显。 同时对所设计的新型磁 驱系统进行运动控制实验分析,结果表明该系统能够在不同环境下对磁珠进行位置闭环控制,在不同粘度的硅油环境下驱动磁 珠按预定轨迹运动的平均误差最大为 0. 066 mm,均方根误差最大为 0. 078 mm。

    Abstract:

    Magnetic field drive technology has become current research hotspot in the field of micro-robot operation. A gradient-enhanced magnetic field drive system is designed. Firstly, the iron core end model was established, the end shape was designed, and finite element method was used to optimize the iron core coil parameters to meet the system index requirements, such as magnetic induction intensity, magnetic field gradient, magnetic field uniformity and working space. Secondly, the designed magnetic drive system was simulated with ANSYS and tested in experiment. It is concluded that the maximum magnetic induction intensity at the working space center of the magnetic drive system is 73. 93 mT, the maximum magnetic field gradient at the working space center is 8. 68 T/ m. Compared with the gradient magnetic field drive system studied in other literatures, the performance has improved significantly. At the same time, the motion control experiment analysis on the designed new magnetic drive system was conducted. The results show that the system can perform closed-loop position control of the magnetic beads under different environments. The average error for driving the magnetic beads moving along the predetermined trajectories under the silicone oil environment with different viscosity is 0. 066 mm at most, and the maximum root mean square error is 0. 078 mm.

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樊启高,赵正青,谢林柏,黄文涛,朱一昕.基于梯度强化的微机器人磁场驱动建模研究[J].仪器仪表学报,2021,(3):114-122

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  • 在线发布日期: 2023-06-28
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