High speed closed loop control of a dielectrophoresis-based system.

International audienceNanosciences have recently proposed a lot of proofs of concept of innovative nanocomponents and especially nanosensors. Going from the current proofs of concept on this scale to reliable industrial systems requires the emergence of a new generation of manufacturing methods able to move, position and sort micro-nano-components. We propose to develop 'No Weight Robots-NWR' that use non-contact transmission of movement (e.g. dielectrophoresis, magnetophoresis) to manipulate micro-nano-objects which could enable simultaneous high throughput and high precision. This article deals with a control methods which enables to follow a high speed trajectory based on visual servoing. The non-linear direct model of the NWR is introduced and the calculation of the inverted model is described. This inverted model is used in the control law to determine the control parameter in function of the reference trajectory. The method proposed has been validated on an experimental setup whose time calculation has been optimized to reach a control period of 1 ms. Future works will be done on the study of smaller components e.g. nanowires, in order to provide high speed and reliable assembly methods for nanosystems

Modeling the trajectory of a microparticle in a dielectrophoresis device.

International audienceMicro- and nanoparticles can be trapped by a nonuniform electric field through the effect of the dielectrophoretic principle. Dielectrophoresis DEP is used to separate, manipulate, and detect microparticles in several domains, such as in biological or carbon nanotube manipulations. Current methods to simulate the trajectory of microparticles under a DEP force field are based on finite element model FEM, which requires new simulations when electrode potential is changed, or on analytic equations limited to very simple geometries. In this paper, we propose a hybrid method, between analytic and numeric calculations and able to simulate complex geometries and to easily change the electrode potential along the trajectory. A small number of FEM simulations are used to create a database, which enables online calculation of the object trajectory as a function of electrode potentials

Modeling and control of non-contact micromanipulation based on dielectrophoresis.

International audienceMicro and nano-particles can be trapped by a non uniform electric field through the effect of the dielectrophoretic force. Dielectrophoresis (DEP) is used to separate, manipulate and sense micro particles in several domains, such as in biological or Carbon Nano-Tubes (CNTs) manipulations. This paper tackles the creation of a closed loop strategy in order to control, using DEP, the trajectory of micro objects using vision feedback. A modeling of the dielectrophoresis force is presented to illustrate the non linearity of the system and the high dynamics of the object under dielectrophoresis . A control strategy based on the generalized predictive control method is proposed with the aim of controlling the trajectory, taking advantage of the high dynamics despite the non linearity. Simulated results are shown to evaluate our control strategy

Open loop control of dielectrophoresis non contact manipulation.

International audienceThe framework of this paper is the study of "No Weight Robots-NWR" that use non-contact transmission of movement (e.g. dielectrophoresis) to manipulate micro-objects enabling significant throughput (1Hz). Dielectrophoresis (DEP) is currently used to separate, manipulate and detect micro particles in several domains with high speed and precision, such as in biological cell or Carbon Nano-Tubes (CNTs) manipulations. A dielectrophoresis system can also be considered as a robotic system whose inputs are the voltages of the electrodes and output is the object trajectory. This "No Weight Robots" enables the positionning of the manipulted object in a 3D space. This paper is summarized the modeling principle of this new type of robots and some first results on trajectory control in 2D space

2D open loop trajectory control of a micro-object in a dielectrophoresis-based device.

International audienceIn the last years, industries have shown a global trend to miniaturize the size of the components to micron in order to reduce the dimension of the final product. At this scale, a micro-object behaves differently from the micro-scale and its behavior is affected by additional physical phenomenon such as the dielectrophoresis. Dielectrophoresis (DEP) is used to separate, manipulate and detect micro particles in several domains with high speed and precision, such as in biological cell or Carbon Nano-Tubes (CNTs) manipulations. This paper focuses on developing a 2D direct dynamic model of the microobject behavior on the base of a 3D dielectrophoretic simulator. This 2D dynamic model is used to establish an open loop control law by a numerical inversion. Exploiting this control law, a high speed trajectory tracking and high precision positioning can be achieved. Several simulated and experimental results are shown to evaluate this control strategy and discuss its performance

2D robotic control of a planar dielectrophoresis-based system.

International audienceNanosciences have recently proposed a lot of proofs of concept of innovative nanocomponents and especially nanosensors. Going from the current proofs of concept on this scale to reliable industrial systems requires the emergence of a new generation of manufacturing methods able to move, position and sort micro-nano-components. We propose to develop 'No Weight Robots-NWR' that use non-contact transmission of movement (e.g. dielectrophoresis, magnetophoresis) to manipulate micro-nano-objects which could enable simultaneous high throughput and high precision. This paper focuses on developing a 2D robotic control of the trajectory of a microobject manipulated by a dielectrophoresis system. A 2D dynamic model is used to establish an open loop control law by a numerical inversion. Exploiting this control law, a high speed trajectory tracking (10 Hz) and high precision positioning can be achieved. Several simulated and experimental results are shown to evaluate this control strategy and discuss its performance

Design and first experiments on MagPieR, the magnetic microrobot.

International audienceThis article deals with the design, the actuation and the control of magnetic microrobots. The interest in such microscale robots actuated by remote force fields is increasing since a large range of application fields could benefit from these small size manipulators. However major scientific challenges such as the optimization of the actuation platform, or the reduction of the adhesion between the robot and the substrate must still be overcome to perform complex micromanipulations. This article presents an example of a magnetic microrobot, MagPieR. Its design, fabrication, actuation and control are detailed. First experiments are presented, and the issues that must still be overcome are highlighted

Modelling, realization and control a dielectrophoresis-based micromanipulation system

La force de diélectrophorèse (DEP) est utilisée pour manipuler, séparer et positionner différent types des particules (cellules, bactéries, nanotubes de carbone). Dans le but d étudieret de simuler une loi de commande permettant le suivi de la trajectoire d une particule soumise à la force DEP un modèle est nécessaire. Les méthodes utilisées pour simuler la force DEP sont généralement basées soit sur des simulateurs à éléments finis (FEM), soit sur des équations analytiques. Les simulateurs FEM ne permettent pas la variation des paramètres (tensions électriques) lors du calcul de la trajectoire et les équations analytiques sont limitées à des géométries simples des électrodes. Dans ce manuscrit, une méthode hybride basée sur les calculs FEM et analytique est proposée. Cette méthode permet de simuler la trajectoire d une particule en utilisant des géométries complexes et en variant les tensions électriques lors de la simulation. Ce modèle est ensuite validé en le comparant à des relevés expérimentaux. Finalement, une loi de commande, basée sur la commande prédictive généralisée (GPC) est proposée dans le but de contrôler la trajectoire, en profitant de la grande dynamique du déplacement de la particule, et ce malgré les non-linéarités. Cette loi de commande a été validée par des résultats de simulations et une comparaison avec une loi de commande classique.Micro and nano-particles can be trapped by a non uniform electric field through the effect of dielectrophoretic (DEP) principle. Dielectrophoresis is used to separate, manipulate and detect micro particles in several domains, such as in biological or Carbon Nano-Tubes (CNTs) manipulations. To study and simulate a vision based closed loop control law in order to control the trajectory of micro objects using DEP a numeric model is required. Current methods to simulate the trajectory of micro-particles under a DEP force field are based on finite element modeling (FEM) which requires new simulations when one of its parameters, like the electric voltage, is changed, or on analytic equations which is limited to very simple geometries. In the first section of this manuscript, we propose a hybrid method between analytic and numeric calculation able to simulate complex geometries and to easily change electrode voltage along the trajectory. This numeric model is, then, validated by comparing it with several experimental results. Finally, a control strategy based on the generalized predictive control method is proposed with the aim of controlling the trajectory, taking advantage of the high dynamics despite the non linearity. This control law has been validated by simulation and compared to classical control strategy

Modélisation, réalisation et commande d'un système de micro-manipulation sans contact par diélectrophorèse

Micro and nano-particles can be trapped by a non uniform electric field through the effect of dielectrophoretic (DEP) principle. Dielectrophoresis is used to separate, manipulate and detect micro particles in several domains, such as in biological or Carbon Nano-Tubes (CNTs) manipulations. To study and simulate a vision based closed loop control law in order to control the trajectory of micro objects using DEP a numeric model is required. Current methods to simulate the trajectory of micro-particles under a DEP force field are based on finite element modeling (FEM) which requires new simulations when one of its parameters, like the electric voltage, is changed, or on analytic equations which is limited to very simple geometries. In the first section of this manuscript, we propose a hybrid method between analytic and numeric calculation able to simulate complex geometries and to easily change electrode voltage along the trajectory. This numeric model is, then, validated by comparing it with several experimental results. Finally, a control strategy based on the generalized predictive control method is proposed with the aim of controlling the trajectory, taking advantage of the high dynamics despite the non linearity. This control law has been validated by simulation and compared to classical control strategy.La force de diélectrophorèse (DEP) est utilisée pour manipuler, séparer et positionner différent types des particules (cellules, bactéries, nanotubes de carbone). Dans le but d étudieret de simuler une loi de commande permettant le suivi de la trajectoire d une particule soumise à la force DEP un modèle est nécessaire. Les méthodes utilisées pour simuler la force DEP sont généralement basées soit sur des simulateurs à éléments finis (FEM), soit sur des équations analytiques. Les simulateurs FEM ne permettent pas la variation des paramètres (tensions électriques) lors du calcul de la trajectoire et les équations analytiques sont limitées à des géométries simples des électrodes. Dans ce manuscrit, une méthode hybride basée sur les calculs FEM et analytique est proposée. Cette méthode permet de simuler la trajectoire d une particule en utilisant des géométries complexes et en variant les tensions électriques lors de la simulation. Ce modèle est ensuite validé en le comparant à des relevés expérimentaux. Finalement, une loi de commande, basée sur la commande prédictive généralisée (GPC) est proposée dans le but de contrôler la trajectoire, en profitant de la grande dynamique du déplacement de la particule, et ce malgré les non-linéarités. Cette loi de commande a été validée par des résultats de simulations et une comparaison avec une loi de commande classique