Dimitrios Papageorgiou is Assistant Professor of Automation and Control at DTU Electrical Engineering, Automation and Control group. His research interests focus in nonlinear, adaptive and sliding-mode control for electromechanical systems, as well as in estimation methods for fault diagnosis and system monitoring. The application fields for his research range from industrial manufacturing floors and robotic manipulators to marine vessels and unmanned vehicles. He received his PhD in Automation and Control from DTU in 2017, in which he focused on high-accuracy nonlinear control for machine-tool applications. The project was in close collaboration with Siemens AG, Advanced Technologies and extended into a postdoctoral scholarship for investigating easy commissioning of machine tools and auto-tuning. Currently he is actively involved in the Autonomous Situation Awareness for Navigation (ASAN) project and in the ShippingLab project, where he conducts research in the area of autonomous seamanship, supervisory control of autonomous vessels and learning-based ship parameter estimation. In parallel, he pursues research related to the applicability and assessment of advanced control and estimation techniques in drive and motion control applications.

Research interests and expertise

Control

• Nonlinear and adaptive control
• Sliding-mode control
• High-accuracy tracking in machine tools
• Stability analysis of interconnected nonlinear systems
• Friction compensation in feed drives.

Estimation

• Nonlinear observers
• Adaptive parameter estimation
• Online friction and backlash identification

Diagnosis and Fault-tolerance

• Wear assessment and prognosis
• Parameter change detection
• Fault reconstruction
• Control reconfiguration

Discrete-event systems

• Process representation using automata theroy
• Operation monitoring via observer automata

Maritime technology

• Manoeuvering models identification
• Situation awareness for surface vessels autonomy
• Trajectory planning and collision avoidance

July 2018 - August 2018: External research visit at the College of Engineering, Mathematics and Physical Sciences, University of Exeter in the United Kingdom. There, I collaborated with Prof. Christopher Edwards on researching systematic tuning methods for advanced sliding mode controllers.

Modelling, analysis and control

• Nonlinear, adaptive and sliding-mode control
• Cascaded control
• Stability analysis of nonlinear, perturbed and periodic systems

Estimation

• Nonlinear, adaptive and sliding-mode observers
• Parameter monitoring and system identification

Diagnosis and Fault-tolerance

• Fault detection and reconstruction
• Wear assessment and prognosis
• Control reconfiguration

Discrete-event systems

• Process representation using automata theroy
• Operation monitoring via observer automata
• Supervisory control

Main application fields

• Maritime technology (manoeuvering models identification, collision avoidance, situation awareness for surface vessels autonomy)
• Machine tools and industrial feed drives (high-accuracy tracking, load identification, friction and backlash estimation and compensation, easy commissioning)
• Wind turbine technology (load mitigation, fault diagnosis, energy optimisation)
• Autonomous systems (situation awareness and supervisory control)