Two-dimensional Path Tracking Control of Microrobot Driven by Combined Magnetic Field

Qigao Fan, Jiawei Lu, Jie-hua Jia, Juntian Qu
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Abstract

This paper demonstrates the control system of magnetic microrobot driven by combined coils. The combined coils consist of three pairs of Helmholtz coils and three pairs of Maxwell coils. The rotating magnetic field, gradient magnetic field and combined magnetic field model of the combined coils were analyzed. A discrete-time optimal controller based on auto disturbance rejection control technology is used to realize fast response of output magnetic field to current. We have designed a closed-loop controller based on position servo. The control system consists of closed-loops of direction and position. As the sampling frequency of vision based position feedback of microrobot is not high enough, the actual position cannot be transmitted to the control system in time. Kalman filter algorithm is used to predict the position of microrobot in the movement process to improve the accuracy of control. Combined with the magnetic drive device and the proposed microrobot control method, simulation and experiment are carried out to verify the proposed scheme. The results show that the magnetic field driving microrobot is effective and the proposed method can improve the magnetic field response ability and the accuracy of the motion control of microrobot.1
组合磁场驱动微型机器人的二维路径跟踪控制
介绍了一种由组合线圈驱动的磁性微型机器人控制系统。组合线圈由三对亥姆霍兹线圈和三对麦克斯韦线圈组成。分析了组合线圈的旋转磁场、梯度磁场和组合磁场模型。采用基于自抗扰控制技术的离散时间最优控制器,实现了输出磁场对电流的快速响应。设计了一种基于位置伺服的闭环控制器。控制系统由方向闭环和位置闭环组成。由于微型机器人基于视觉的位置反馈采样频率不够高,无法及时将实际位置信息传递给控制系统。采用卡尔曼滤波算法对微机器人在运动过程中的位置进行预测,以提高控制精度。结合磁驱动装置和所提出的微机器人控制方法,进行仿真和实验验证所提出的方案。结果表明,磁场驱动微机器人是有效的,所提出的方法可以提高微机器人的磁场响应能力和运动控制精度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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