Dr Duc Nguyen
Expertise
Current positions
Lecturer in Flight Dynamics and Control
School of Civil, Aerospace and Design Engineering
Contact
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Research interests
Academic CV: click here
Dr Nguyen's primary research interests is in the dynamics and control of flying vehicles. His work focuses on investigating their nonlinear behaviours using advanced numerical methods, such as bifurcation analysis, numerical continuation, and reinforcement learning. Applications include controlling high-performance fighter aircraft at high angles of attack, predicting pilot-induced oscillations due to actuator rate limiting, and harvesting energy using airborne wind energy systems.
Dr Duc H. Nguyen AMRAeS FHEA received an MEng in 2019 and a PhD in 2021 from the Department of Aerospace Engineering at the University of Bristol. He then held postdoctoral research and teaching roles at the Bristol Composites Institute, where he applied feedback control techniques to improve in-line inspection of composite manufacturing systems. In 2023, Dr Nguyen joined the School of Civil, Aerospace and Design Engineering (CADE) as a lecturer.
On the teaching side, Dr Nguyen has co-created a short course on nonlinear flight mechanics for BAE Systems, led by Professor Mark Lowenberg at the University of Bristol. He also teaches an online course in control engineering for the University of Cambridge.
Dr Nguyen is an active member of the Royal Aeronautical Society (RAeS) and the Council of European Aerospace Societies (CEAS), where he serves on various committees and panels. He also holds a private pilot license.
Publications
Recent publications
21/06/2023An initial bifurcation analysis of an EV pickup truck
In-situ defect detection and correction using real time automated fibre placement
A Graphical Approach to Examining Classical Extremum Seeking Using Bifurcation Analysis
IEEE Transactions on Control Systems Technology
Automatic process control of an automated fibre placement machine
Composites Part A: Applied Science and Manufacturing
Derivation of control inputs for deep stall recovery using nonlinear frequency analysis
The Aeronautical Journal
Thesis
Extending Nonlinear Frequency Analysis to Flight Dynamics and Control Problems
Supervisors
Award date
02/12/2021