dr.ir. W.B.J. Hakvoort (Wouter)

Research

Wouter Hakvoort is associate professor and principal investigator in control for mechanical engineering in the department of Mechanics of Solids Surfaces and Systems, Faculty of Engineering Technology, University of Twente. His research focus is on the integration of data with (first principle) model-based control, effected through efficient (flexible) multibody modelling, adaptive control and iterative learning control for motion control, active vibration isolation control and control of forming processes. Application areas are in precision systems, mechatronics and robotics for smart industry and high-tech industry. He received funding for 8 PhD projects on these topics of which 1 has been completed so far. The work has been published in over 30 peer-reviewed publications in the area. He is associate editor for the journal of Precision Engineering.

Education

Wouter Hakvoort coordinates a module and a project on mechatronics in the BSc-programme of Mechanical Engineering and is the main teacher of two master courses on control in the MSc programmes of Mechanical Engineering, Robotics and Systems & Control. He is also chairman of the programme-related subcommittee on Robotics and Systems & Control of the examination board of the EEMCS faculty.

Biography

Wouter received his MSc degree in Mechanical Engineering cum laude from the University of Twente in 2004. He received his PhD degree from the same university in 2009 for his work on Iterative Learning Control for LTV systems with Applications to an Industrial Robot. From 2008 he gained industrial experience at DEMCON Advanced Mechatronics, being responsible for the control and system design mechatronic systems for medical and high-tech systems applications. Concurrently he was guest lecturer and researcher at the University of Twente (0.2 fte), teaching and researching on mechatronics and control. In 2017 he joined the university full-time as tenure-track assistant professor in control for mechanical engineering.

Website

Wouter is in the Precision Engineering research lab.

Engineering & Materials Science

# Compliant Mechanisms
# Controllers
# Displacement Measurement
# Feedforward Control
# Stiffness

Mathematics

# Vibration Isolation

Physics & Astronomy

# Flexing
# Mass Flow

Faculty of Engineering Technology (ET), Precision Engineering (PE)

Seinhorst, B. , Nijenhuis, M. , & Hakvoort, W. (2023). Active Damping of Position Dependent Parasitic Resonances in Flexure Mechanisms. In Proceedings of the 38th ASPE Annual Meeting (pp. 119-122)

Hakvoort, W. , Koroglu, H., & Spanjer, S. T. (2023). The Potential of Active Vibration Isolation Systems. In Proceedings of the 38th ASPE Annual Meeting (pp. 11-16)

Seinhorst, B. , Hakvoort, W. , & Nijenhuis, M. (2023). End Effects in Spatial Beam Elements: Comparing the Variational Asymptotic Method and the Eigenwarping Method. In Digital Conference Proceedings 11th ECCOMAS Thematic Conference on Multibody Dynamics Instituto de Engenharia Mecânica. https://multibody2023.tecnico.ulisboa.pt/prog_MULTIBODY_WEB/MULTIBODY2023_PAPERS/ID_187_645_Eccomas_paper_BS_V2.pdf

Hakvoort, W. , & Beijen, M. A. (2023). Filtered-error RLS for self-tuning disturbance feedforward control with application to a multi-axis vibration isolator. Mechatronics, 89, Article 102934. https://doi.org/10.1016/j.mechatronics.2022.102934

Munzone, F. , Hazrati, J. , Hakvoort, W. , & van den Boogaard, T. (2022). A data-driven model updating approach for robust optimization of (multi-stage) production processes. Poster session presented at 25th Engineering Mechanics Symposium, EM 2022, Arnhem, Netherlands.

van Dijk, W. , Hakvoort, W. , & Rosic, B. (2022). Generalized Kalman Filtering for Nonlinear Dynamic Problems using Machine Learning. Poster session presented at 25th Engineering Mechanics Symposium, EM 2022, Arnhem, Netherlands.

Spanjer, S., Kelder, R. , & Hakvoort, W. (2022). Active vibration isolation with integrated virtual balance mass for a motion stage. In R. K. Leach, A. Akrofi-Ayesu, C. Nisbet, & D. Phillips (Eds.), euspen’s 22 nd International Conference & Exhibition, Geneva, CH, May/June 2022 (pp. 195-198). EUSPEN.

Spanjer, S. T. , & Hakvoort, W. B. J. (2022). Optimal Active Vibration Isolation System Design using Constrained H₂control. IFAC-papersonline, 55(27), 160-165. https://doi.org/10.1016/j.ifacol.2022.10.505

Seinhorst, B. , Nijenhuis, M. , & Hakvoort, W. B. J. (2022). Feasibility of Active Material Vibration Suppression in a Large Stroke Flexure Hinge. IFAC-papersonline, 55(27), 166-171. https://doi.org/10.1016/j.ifacol.2022.10.506

Seinhorst, B. , Nijenhuis, M. , & Hakvoort, W. (2022). Design of a large deflection compliant mechanism with active material for vibration suppression. In R. K. Leach, A. Akrofi-Ayesu, C. Nisbet, & D. Phillips (Eds.), European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022 (pp. 123-126). EUSPEN. https://www.euspen.eu/knowledge-base/ICE22257.pdf

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Bachelor

Mechanical Engineering

Master

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

PICOLI

Picoliter mass flow measuring

+31534898967

+31534892074 (if no answer)

w.b.j.hakvoort@utwente.nl

Visiting Address

University of Twente
Faculty of Engineering Technology
Horst Complex (building no. 20), room T613
De Horst 2
7522LW Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Engineering Technology
Horst Complex T613
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Engineering Technology (ET), Precision Engineering (PE)

University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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Online Physics-Based Machine Learning Algorithms for the control of Precision Robotic Systems

MetaMech

Robust adaptive active vibration isolation control

Integrating models and real-time data for zero-defect manufacturing control systems

A data-driven model updating approach for robust optimization of (multi-stage) production processes

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