| Project Detail |
Young researchers contribute to advances in the aerodynamics of flexible structures
The next generation of wind turbines and aircraft could harness more flexible designs leveraging active dynamic control to improve the performance of blades and wings, respectively. Designing such structures will require deep understanding of the physical processes involved. With the support of the Marie Sklodowska-Curie Actions programme, the ModConFlex project will bring together six leading universities to form a doctoral training programme to prepare the next generation of researchers on the modelling and control of flexible structures interacting with fluids (water and air). The academia-industry partnership will make important contributions to control theory, AI and energy-based modelling within the context of flexible structures in fluid environments.
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. |
