CORDIS Project
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This project develops an artificial intelligence-based approach to control flow devices affected by wake turbulence. By using machine learning and multi-agent systems, it aims to improve efficiency and reduce turbulence in applications like aircraft and wind farms.
Physics dictate that a flow device has to leave a wake or the signature of it producing sustentation forces, extracting energy, or simply moving through the medium; these flow structures can then impact negatively or favorably another device downstream.
Wake turbulence between aircraft in air traffic and wake losses within wind farms are prime examples of this phenomenon, and incidentally constitute pivotal challenges to their respective fields of transportation and wind energy.
These are highly…
UNIVERSITE CATHOLIQUE DE LOUVAIN
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