# Green's function-based control-oriented modeling of electric field for dielectrophoresis

## TL;DR

This paper introduces a Green's function-based analytical model for dielectrophoretic forces that is both accurate and computationally efficient, enabling real-time feedback control in micromanipulation.

## Contribution

It presents a novel approximation method that simplifies complex boundary value problems into a form suitable for real-time applications.

## Key findings

- The model closely matches numerical solutions of the original problem.
- It enables real-time computation for feedback control.
- The approach simplifies dielectrophoretic force modeling for micromanipulation.

## Abstract

In this paper, we propose a novel approach to obtaining a reliable and simple mathematical model of a dielectrophoretic force for model-based feedback micromanipulation. Any such model is expected to sufficiently accurately relate the voltages (electric potentials) applied to the electrodes to the resulting forces exerted on microparticles at given locations in the workspace. This model also has to be computationally simple enough to be used in real time as required by model-based feedback control. Most existing models involve solving two- or three-dimensional mixed boundary value problems. As such, they are usually analytically intractable and have to be solved numerically instead. A numerical solution is, however, infeasible in real time, hence such models are not suitable for feedback control. We present a novel approximation of the boundary value data for which a closed-form analytical solution is feasible; we solve a mixed boundary value problem numerically off-line only once, and based on this solution we approximate the mixed boundary conditions by Dirichlet boundary conditions. This way we get an approximated boundary value problem allowing the application of the analytical framework of Green's functions. Thus obtained closed-form analytical solution is amenable to real-time use and closely matches the numerical solution of the original exact problem.