振荡磁场中导电材料的开环控制

IF 9.4 1区 计算机科学 Q1 ROBOTICS
Seth Stewart;Joseph Pawelski;Steve Ward;Andrew J. Petruska
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引用次数: 0

摘要

使用远程产生的磁场控制物体已经成为3d位置控制的可行选择,尽管迄今为止被操纵的物体在很大程度上仅限于对静态磁场产生反应的软磁和硬磁物体。这限制了应用于材料的一小部分。这项工作提出了任何导电材料在时变磁场作用下的三维位置控制的第一个解析导出模型。通过利用感应涡流和随后的感应偶极子,该模型表明导电材料的行为与抗磁性材料相当,因此不受恩肖定理的限制,使稳定的开环悬浮成为可能。通过半浮力铝球的开环位置控制证明了这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Open-Loop Control of Electrically Conductive Materials in an Oscillating Magnetic Field
Control of objects using remotely generated magnetic fields has established itself as a viable option for 3-D position control, though the objects being manipulated to date have largely been limited to soft and hard-magnetic objects that react to a static magnetic field. This limits the application to a small subset of materials. This work presents the first analytically derived model for 3-D position control of any electrically conductive material subject to a time-varying magnetic field. By leveraging the induced eddy current and subsequent induced dipole, this model shows that conductive materials behave equivalently to diamagnetic materials and are, therefore, not subject to the limitations of the Earnshaw’s theorem, making stable, open-loop levitation possible. This is demonstrated by open-loop position control of a semibuoyant aluminum sphere.
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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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