43 citations
- Eindhoven University of TechnologyNL4 papers
- Max Planck Institute for Dynamics and Self-OrganizationDE4 papers
- Max Planck University of Twente Center for Complex Fluid DynamicsNL3 papers
- ASML (Netherlands)NL2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Delft University of TechnologyNL1 paper
- ETH ZurichCH1 paper
- IBS Precision Engineering (Netherlands)NL1 paper
- Institut Jean Le Rond d'AlembertFR1 paper
- NXP (Netherlands)NL1 paper
- Philips (Netherlands)NL1 paper
- Sorbonne UniversitéFR1 paper
Showing 2023Show all
3 papers · 1 filter
eess.SY2023★ 2 cited
Physics-guided neural networks for inversion-based feedforward control applied to hybrid stepper motors
Daiwei Fan, Max Bolderman, Sjirk Koekebakker +2
Rotary motors, such as hybrid stepper motors (HSMs), are widely used in industries varying from printing applications to robotics. The increasing need for productivity and efficien…
physics.flu-dyn2023★ 8 cited
Resonance behavior of a compliant piezo-driven inkjet channel with an entrained microbubble
Hans Reinten, Yogesh Jethani, Arjan Fraters +4
Microbubbles entrained in a piezo-driven drop-on-demand (DOD) printhead disturb the acoustics of the microfluidic ink channel and thereby the jetting behavior. Here, the resonance…
eess.SY2023★ 34 cited
Physics-guided neural networks for feedforward control with input-to-state stability guarantees
Max Bolderman, Hans Butler, Sjirk Koekebakker +5
The increasing demand on precision and throughput within high-precision mechatronics industries requires a new generation of feedforward controllers with higher accuracy than exist…