Modelling and Control of Flexible Structures Interacting with Fluids (ModConFlex)
Lead Research Organisation:
University of Warwick
Department Name: Sch of Engineering
Abstract
The ModConFlex consortium comprises a group of 10 academics and 4 senior researchers in industry (ORE Catapult) with expertise in control theory, artificial intelligence, complex dynamical systems, distributed parameter systems, fluid dynamics, aeroelasticity, power electronics, power systems, swimming theory and marine engineering. Our aim is to train the next generation of researchers on the modelling and control of flexible structures interacting with fluids (water and air), contributing to the latest advances in control theory, artificial intelligence and energy-based modelling. Our main applications are in the control of floating wind turbines (the prime renewable energy source of the future), and in the control of highly flexible aircraft, aircraft with very high aspect ratio. Our research plans are organized into three scientific work packages, which cover mathematical systems theory (modelling and model reduction, boundary control systems, port-Hamiltonian systems, exact beam theory), relevant aspects of control theory (internal model controllers with anti-windup, nonlinear model predictive control, robust control), reinforcement learning, aeroelasticity, stochastic algorithms. We believe that science and technology in Europe will greatly benefit from this research, and from the education and knowledge that we will impart to a new generation of researchers. Key strengths of this consortium include a research environment that brings together mathematicians and engineers to provide the project's young researchers with a unique training environment, and a network of associated industrial partners that will allow all the young researchers to participate in industrial secondments. We have the critical mass to cover all aspects of training, and we have an excellent track record of past collaboration and of training young researchers.
Organisations
Publications
Liu Q
(2024)
Small-Signal Synchronization Stability of Sequence-Decomposed Grid-Forming IBRs
in IEEE Transactions on Industrial Electronics
Liu Q
(2025)
Small-Signal Stability of Sequence-Decomposed Grid-Forming IBRs With DC-Link Voltage Dynamics
in IEEE Transactions on Power Electronics
| Description | Energy System Catapult |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | We held a AI knowledge sharing workshop to Energy system catapult who visited our lab at Warwick University. We disseminated the project results on AI application in wind energy, hydrogen, microgrid, grid integration, and health monitoring to them and talked about collaborations. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Workshops with National Energy System Operator |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | A workshop was held at University of Warwick on 25 Oct 2024, where 21 Power system engineers from the National Grid ESO (now called NESO) joined us. In this workshop, we shared our research in AI, grid forming, wind energy, microgrid, and grid forming. |
| Year(s) Of Engagement Activity | 2024 |
