Multi-agent Modeling and Optimal Pumping Control of Magnetic Artificial Cilia

Fuente: arXiv
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Main Authors: Yu, Shuangshuang, Ning, Zheng, Chen, Ge
Format: Preprint
Published: 2024
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author Yu, Shuangshuang
Ning, Zheng
Chen, Ge
author_facet Yu, Shuangshuang
Ning, Zheng
Chen, Ge
contents Tiny cilia drive the flow of surrounding fluids through asymmetric jumping, which is one of the main ways for biological organisms to control fluid transport at the micro-scale. Due to its huge application prospects in medical and environmental treatment fields, artificial cilia have attracted widespread research interest in recent years. However, how to model and optimize artificial cilia is currently a common challenge faced by scholars. We model a single artificial cilium driven by a magnetic field as a multi-agent system, where each agent is a magnetic bead, and the interactions between beads are influenced by the magnetic field. Our system is driven by controlling the magnetic field input to achieve fluid transport at low Reynolds number. In order to quantify the flow conveying capacity, we introduce the pumping performance and propose an optimal control problem for pumping performance, and then give its numerical solution. The calculation results indicate that our model and optimal control algorithm can significantly improve the pumping performance of a single cilia.
format Preprint
id arxiv_https___arxiv_org_abs_2401_02455
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multi-agent Modeling and Optimal Pumping Control of Magnetic Artificial Cilia
Yu, Shuangshuang
Ning, Zheng
Chen, Ge
Optimization and Control
Tiny cilia drive the flow of surrounding fluids through asymmetric jumping, which is one of the main ways for biological organisms to control fluid transport at the micro-scale. Due to its huge application prospects in medical and environmental treatment fields, artificial cilia have attracted widespread research interest in recent years. However, how to model and optimize artificial cilia is currently a common challenge faced by scholars. We model a single artificial cilium driven by a magnetic field as a multi-agent system, where each agent is a magnetic bead, and the interactions between beads are influenced by the magnetic field. Our system is driven by controlling the magnetic field input to achieve fluid transport at low Reynolds number. In order to quantify the flow conveying capacity, we introduce the pumping performance and propose an optimal control problem for pumping performance, and then give its numerical solution. The calculation results indicate that our model and optimal control algorithm can significantly improve the pumping performance of a single cilia.
title Multi-agent Modeling and Optimal Pumping Control of Magnetic Artificial Cilia
topic Optimization and Control
url https://arxiv.org/abs/2401.02455