5 research outputs found
Multi-agent Modeling and Optimal Pumping Control of Magnetic Artificial Cilia
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