Joël Agnus — accepted AI-conference papers

2018

Self-Sensing Method Considering the Dynamic Impedance of Piezoelectric Based Actuators for Ultralow Frequency

Joel Bafumba Liseli, Joël Agnus, Philippe Lutz, Micky Rakotondrabe

RA-L 2018

This letter presents a displacement self-sensing method for piezoelectric actuators that takes into account the effect of the deformation of these latter on their electrical impedance. A self-updating digital electrical impedance equivalent to that of the piezoelement is suggested in order to overco

Cited by 12 Source ↗Scholar ↗

2016

Nanoforce sensing with magnetic springs using a differential approach to compensate external mechanical disturbances

Margot Billot, Emmanuel Piat, Joël Abadie, Joël Agnus, Philippe Stempflé

ICRA 2016poster

Nanoforce sensors using passive magnetic springs associated to a macroscopic seismic mass are known to be a possible alternative to force sensors based on elastic microstructures like Atomic Force Microscopes if the nanoforces that have to be measured are characterized by a bandwidth limited to a fe…

Cited by 0 Source ↗Scholar ↗