Description du projet
De jeunes chercheurs contribuent aux progrès de l’aérodynamique des structures souples
La prochaine génération d’éoliennes et d’avions pourrait exploiter des conceptions plus flexibles, en s’appuyant sur le contrôle dynamique actif pour améliorer respectivement les performances des pales et des ailes. La conception de telles structures nécessitera une compréhension approfondie des processus physiques en jeu. Avec le soutien du programme Actions Marie Skłodowska-Curie, le projet ModConFlex réunira six universités de premier plan pour former un programme de formation doctorale destiné à préparer la prochaine génération de chercheurs dans le domaine de la modélisation et du contrôle des structures flexibles en interaction avec des fluides (eau et air). Le partenariat entre le monde universitaire et l’industrie apportera des contributions importantes à la théorie du contrôle, à l’IA et à la modélisation basée sur l’énergie dans le contexte de structures flexibles dans des environnements fluides.
Objectif
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.
Champ scientifique
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamics
- natural sciencesmathematicsapplied mathematicsdynamical systems
- engineering and technologymechanical engineeringvehicle engineeringnaval engineering
Mots‑clés
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régime de financement
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinateur
42119 Wuppertal
Allemagne