Descripción del proyecto
Jóvenes investigadores contribuyen a los avances en la aerodinámica de las estructuras flexibles
La próxima generación de turbinas eólicas y de aeronaves podría utilizar diseños más flexibles que aprovechen el control dinámico activo para mejorar el rendimiento de las palas y las alas, respectivamente. El diseño de estas estructuras requerirá un profundo conocimiento de los procesos físicos que intervienen. El proyecto ModConFlex, que cuenta con el apoyo de las Acciones Marie Skłodowska-Curie, reunirá a seis universidades punteras para crear un programa de formación doctoral que prepare a la próxima generación de investigadores sobre la modelización y el control de estructuras flexibles que interactúan con fluidos (agua y aire). Esta asociación entre el mundo científico y la industria hará importantes contribuciones a la teoría de control, la inteligencia artificial y la modelización basada en la energía en el contexto de las estructuras flexibles en entornos fluidos.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinador
42119 Wuppertal
Alemania