Doctoral Candidate
Max van Meer
Department / Institute
Group
RESEARCH PROFILE
As a PhD student in Control Systems Technology at TU/e, my research focuses on enhancing the performance of low-cost actuators through advanced motion control techniques. A significant aspect of my work involves developing innovative commutation strategies for Switched Reluctance Motors, primarily used in directing lasers for optical satellite communication. Additionally, I am involved in the research of automatic calibration methods for cost-effective position sensors, aiming to boost their accuracy and reliability. This work reflects my commitment to bridging the gap between cost-efficiency and high performance in control engineering.
Recent Publications
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L.I.M. Aarnoudse,J.J. Kon,K.H.J. Classens,M. van Meer,M.M. Poot,P.J.M.M. Tacx,Nard W.A. Strijbosch,Tom A.E. Oomen
Cross-Coupled Iterative Learning Control
Mechatronics (2024) -
M. van Meer,Rodrigo González,Gert Witvoet,Tom A.E. Oomen
Nonlinear Bayesian Identification for Motor Commutation
(2024) -
M. van Meer,Gert Witvoet,Tom A.E. Oomen
Cascaded Calibration of Mechatronic Systems via Bayesian Inference
IFAC-PapersOnLine (2023) -
Leontine Aarnoudse,Johan Kon,Koen Classens,Max van Meer,M.M. Poot,P.J.M.M. Tacx,Nard Strijbosch,Tom Oomen
Cross-coupled iterative learning control for complex systems
(2023) -
Tom A.E. Oomen,L.I.M. Aarnoudse,Lennart L.G. Blanken,K.H.J. Classens,Mathyn R. van Dael,N.J. Dirkx,Rodrigo González,M.J. van Haren,J.J. Kon,M. van Meer
Learning in Machines: From Data to Models, Control Performance, and Monitoring
(2023)
Current Educational Activities
Ancillary Activities
- Begeleiden van cursussen georganiseerd door Mechatronics Academy, Mechatronics Academy