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.
Expertise
Physics
- Vibration
- Flowmeter
- Feedforward Control
- Frequencies
Engineering
- Vibration Isolation
- Flexure
- Design
Computer Science
- Control
Organisations
Publications
2024
2023
Research profiles
Affiliated study programs
Courses academic year 2024/2025
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.
- 191131410 - Mechanical Automation - Capita Selecta
- 193640999 - Internship BME
- 195799152 - Internship
- 201600187 - Individual Project
- 202000247 - Frontiers to High-Tech Systems&Materials
- 202000249 - Master Graduation Assignment
- 202000250 - Internship
- 202000256 - Learning and Adaptive Control
- 202200104 - Control System Design for Robotics
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
Courses academic year 2023/2024
- 191131410 - Mechanical Automation - Capita Selecta
- 191199152 - Internship
- 191199154 - Internship
- 193640999 - Internship BME
- 195799152 - Internship
- 201100179 - Graduation Project
- 201400462 - Internship S&C
- 201600187 - Individual Project
- 202000031 - Frontiers in Robotics
- 202000145 - Proj. Mechatronics & Ac. Skills 8
- 202000247 - Frontiers to High-Tech Systems&Materials
- 202000249 - Master Graduation Assignment
- 202000250 - Internship
- 202000256 - Learning and Adaptive Control
- 202200104 - Control System Design for Robotics
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
- 202300342 - Internship ROB/I-TECH
- 202300349 - Internship ROB/I-TECH
- 202300353 - Internship (CSE/SET)
Current projects
Robust adaptive active vibration isolation control
Improved robustness of active vibration isolation control. Partners: MI-Parners, PM and University of Twente Funding: Top Technology Twente (Connecting Industry)
Integrating models and real-time data for zero-defect manufacturing control systems
Integration of high-fidelity physics-based models and large data-streams for zero-defect manufacturing. Application in strip steering during hot rolling. Parners: Photonis, DevControl, OSISoft, Philips, Tata Steel IJmuiden, S[&]T Corporation, KxA Software Innovations, University of Groningen and University of Twente Funding: Smart Industry - STW - NWO
Online Physics-Based Machine Learning Algorithms for the control of Precision Robotic Systems
Employing machine learning architectures to efficiently handle uncertainty in (nonlinear) physics-based models for control. Partners: Applied Mechanics and Data Analysis group (UT) Funding: internal
MetaMech
Mechatronic Metamaterials for Dynamic Mode Suppression
Active architectured materials for suppression of varying vibration modes. Partners: ASML, VDL, PI, DEMCON, TU Delft, University of Twente. Funding: HTSM - NWO
A data-driven model updating approach for robust optimization of (multi-stage) production processes
Digital Twin
Integration of data and models to (robustly) optimise and control multistage production processes, metal forming in particular. Parners: Philips, Tata Steel, ASM PT, TNO, Leiden University, Eindhoven University of Technology Funding: Part of the perspectief programme 'Digital Twin' funded by NWO
Finished projects
PICOLI
Picoliter mass flow measuring
Precise dosing of fluids for medicine and food additives by optimisation and vibration isolation control of Coriolis Mass Flow Meters. Partners: Bronkhorst HighTech, Demcon, Future Chemistry and University of Twente. Funding: Pieken in de Delta: PID 092051.
Address
University of Twente
Horst Complex (building no. 20), room T613
De Horst 2
7522 LW Enschede
Netherlands
University of Twente
Horst Complex T613
P.O. Box 217
7500 AE Enschede
Netherlands
Organisations
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