Comparison of Dynamic Models for Non-Contact Micromanipulation Based on Dielectrophoretic Actuation

Several approaches are proposed in the literature to calculate the drag force, the electric field and the induced dielectrophoretic force. This paper analyzes the performances of various models for closed loop control of dielectrophoretic systems in comparison with experiments. This article compares their performance in terms of accuracy, computation time, and memory consumption. Four classical approaches are available to calculate the electric field. Their performances are analyzed in the paper. We have shown that combining the dipolar model of dielectrophoresis force with an anisotropic drag force (integrating the wall-effect) provides an interesting ratio precision/computation time. This paper provides an original comparison of several models described in literature whose performances have been compared with experiments.

[1]  E. Guyon,et al.  Effect of a plane wall on a sphere moving parallel to it , 1983 .

[2]  E. Guyon,et al.  Wall effects on a sphere translating at constant velocity , 1984, Journal of Fluid Mechanics.

[3]  Thomas B. Jones,et al.  Multipolar dielectrophoretic force calculation , 1994 .

[4]  Peter R. C. Gascoyne,et al.  General expressions for dielectrophoretic force and electrorotational torque derived using the Maxwell stress tensor method , 1997 .

[5]  T. Jones,et al.  Basic theory of dielectrophoresis and electrorotation , 2003, IEEE Engineering in Medicine and Biology Magazine.

[6]  H. Morgan,et al.  Electrohydrodynamics and dielectrophoresis in microsystems: scaling laws , 2003 .

[7]  Michaël Gauthier,et al.  Modeling the trajectory of a micro particle in a dielectrophoresis device for dynamic control , 2009, 2010 IEEE International Conference on Robotics and Automation.

[8]  Dawn J. Bennett,et al.  A semi-analytical approach using artificial neural network for dielectrophoresis generated by parallel electrodes , 2010 .

[9]  R. Pethig.  Review article-dielectrophoresis: status of the theory, technology, and applications. , 2010, Biomicrofluidics.

[10]  Michaël Gauthier,et al.  High speed closed loop control of a dielectrophoresis-based system , 2013, 2013 IEEE International Conference on Robotics and Automation.

[11]  Tomáš Michálek,et al.  Feedback control for noise‐aided parallel micromanipulation of several particles using dielectrophoresis , 2015, Electrophoresis.

[12]  Ryad Benosman,et al.  Visual Tracking Using Neuromorphic Asynchronous Event-Based Cameras , 2015, Neural Computation.

[13]  Sung-Hwan Kim,et al.  Separation and sorting of cells in microsystems using physical principles , 2015 .

[14]  Kristian Hengster-Movric,et al.  Green's function-based control-oriented modeling of electric field for dielectrophoresis , 2017, 1703.01980.

[15]  Aude Bolopion,et al.  Analytical Formulation of the Electric Field Induced by Electrode Arrays: Towards Automated Dielectrophoretic Cell Sorting , 2017, Micromachines.

[16]  Tomáš Michálek,et al.  Dipole and multipole models of dielectrophoresis for a non‐negligible particle size: Simulations and experiments , 2017, Electrophoresis.

[17]  P Renaud,et al.  Impedance-based real-time position sensor for lab-on-a-chip devices. , 2018, Lab on a chip.