通过稳定器微型机器人同时独立控制多个游泳磁性微型机器人

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ruhollah Khalesi, Hossein Nejat Pishkenari, Gholamreza Vossoughi
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引用次数: 0

摘要

本文提出了一种同时控制多个磁性微型机器人(MR)的新策略,可提高其稳定性和对外部干扰的鲁棒性。对多个磁性微型机器人进行独立控制可提高效率,并允许执行更具挑战性的应用。在这项研究中,我们提出了一个由一个亥姆霍兹线圈和 2N 个永磁体(PM)组成的系统,通过伺服电机旋转来控制多个磁性微型机器人。我们还通过增加一个较大的磁共振(稳定器磁共振)来提高系统的稳定性。该磁共振可在工作区周围移动,并可作为一个移动的内部磁场源。有了这个可移动的磁场,其他磁共振在受到环境干扰时会更加稳定。通过模拟多个磁共振的同时独立控制,我们证明了使用稳定器磁共振的优势(跟踪误差和控制工作量减少 20% 以上)。此外,我们还通过实验评估了我们提出的使用稳定器磁共振独立控制三个磁共振位置的方法,证明了该策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous and Independent Control of Multiple Swimming Magnetic Microrobots by Stabilizer Microrobot

This paper presents a new strategy for simultaneous control of multiple magnetic Micro Robots (MRs) improving stability and robustness with respect to external disturbances. Independent control of multiple MRs, can enhance efficiency and allows for performing more challenging applications. In this study, we present a system consisting of a Helmholtz coil and 2N Permanent Magnets (PMs), rotated by servomotors, to control several MRs. We have also improved the system’s stability by adding a larger MR (stabilizer MR). This MR can be moved all around the workspace and works as a moving internal magnetic field source. Thanks to this moveable magnetic field, other MRs are more stable against environmental disturbances. By simulating simultaneous and independent control of multiple MRs, we demonstrate the advantages of using the stabilizer MR (more than 20 percent reduction in tracking error and control effort). In addition, we evaluate experimentally our proposed method to independently control the position of three MRs using a stabilizer MR demonstrating the efficacy of the strategy.

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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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