Modeling and Estimation of Self-Phoretic Magnetic Janus Microrobot With Uncontrollable Inputs - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Control Systems Technology Année : 2022

Modeling and Estimation of Self-Phoretic Magnetic Janus Microrobot With Uncontrollable Inputs

Résumé

This study theoretically investigates the modeling of spherical catalytic self-phoretic magnetic Janus microrobot (MJR) evolving in uniform viscous flow. A 2-D state-space representation of the MJR is developed, exhibiting a state-dependent-coefficient (SDC) form. To evaluate the consistency of the modeling formalism, a dual Kalman filter (DKF) methodology is employed with respect to experimental results when unknown parameters or uncontrollable inputs are considered. In fact, the self-phoretic thrust mechanism and the magnetodynamics of the MJR are not well-known. SDC-DKF is implemented, and we find that there is good agreement between the dynamics computed from our theoretical predictions and the experimental observations in a wide range of model parameter variations.
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hal-03523208 , version 1 (20-03-2024)

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David Folio, Antoine Ferreira. Modeling and Estimation of Self-Phoretic Magnetic Janus Microrobot With Uncontrollable Inputs. IEEE Transactions on Control Systems Technology, 2022, pp.1-8. ⟨10.1109/TCST.2021.3139192⟩. ⟨hal-03523208⟩
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