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Researcher

Stijn Derammelaere

  • Research Expertise  (University of Antwerp):As the control algorithms directly drive the actuators, the controllers have a significant influence on the productivity, energy usage, quality and robustness requirements. To optimize the performance of the control towards these requirements, the research of professor Derammelaere considers four essential topics. First of all, his attention goes to the control algorithm and more important control architecture. Secondly, research on the optimal selection, optimal placement of sensors and implementation of feedback estimation guarantees cost-efficient control. Furthermore, next to control optimizations, trajectory optimization improves the energy-usage and output of the machine. Finally, all these issues; control architecture, feedback optimization and estimation and path planning deliver the best results if a reliable dynamic system model is available.
  • Keywords  (University of Antwerp):ELECTRICAL MACHINES, MOTION CONTROL, MOTION PLANNING, CONTROL THEORY, SYSTEM DYNAMICS, ENERGY EFFICIENCY, Electronics and electrical engineering
  • Disciplines  (University of Antwerp):Applied mathematics in specific fields, Artificial intelligence, Computer architecture and networks, Distributed computing, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Cognitive science and intelligent systems
  • Disciplines  (Ghent University):Electrical machines and transformers, Signals and systems, Mechatronics and robotics not elsewhere classified, Computers and logic systems, Software and data acquisition, Control engineering, Physical system modelling, Motion planning and control
  • Research techniques  (University of Antwerp):Optimisation, interpolation, system identification, co-design
  • Users of research expertise  (University of Antwerp):Professor Derammelaere inspires his research goals on intense collaborations with industry. In industry, constructors of machines such as weaving looms, agricultural machines, sheet metalworking machines, additive manufacturing machines, production lines and logistic firms all operate in a competitive international market. Moreover, there is a worldwide trend towards more autonomous systems. To retain and increase their market share these machine constructors need to improve their machines concerning the productivity, energy usage, quality and robustness of their machines while keeping the cost minimal.