Ignace Ransquin
PhD student
Ir. at UCLouvain 2017
Contact - Personnal web page

Main project: Aircraft Wake Sensing and Tracking Strategies towards Operational Formation Flight
Funding: ERC Project
Supervisor(s): Philippe Chatelain

Physics dictates that a flow device has to leave a wake or the signature of it producing sustentation forces, and can then impact negatively or favorably another device downstream (e.g. Wake turbulence between aircraft in air traffic, wake losses within wind farms). This project proposes an Artificial Intelligence and bio-inspired paradigm for the control of flow devices subjected to wake effects. To each flow device is associated an intelligent agent that pursues given goals of efficiency or turbulence alleviation. Every one of these flow agents now relies on machine-learning tools to learn how to make the right decision when confronted with wake or turbulent flow structures. At a system level, Multi-Agent System and Distributed Learning paradigms are employed. The goal is to demonstrate that the design of a system that learns how to control the flow, is simpler than the design of the control scheme and will yield a more robust scheme.

Collaborative control of multiple devices constitutes a field of development that will be transformative in many engineering areas. Collaboration is indeed proven to consistently bring increased global efficiency, adaptivity and robustness in the applications of interest. The design of robust collaborative schemes is a topic in its own, which is particularly delicate when the devices interactions are flow-mediated, due to the non-linearity of flows. More crucially, they affect the operation of the impacted devices.

IMMC main research direction(s):
Fluid mechanics

control systems
wake flows

Research group(s): TFL

Recent publications

See complete list of publications

Journal Articles

1. Ransquin, Ignace; Duponcheel, Matthieu; Chatelain, Philippe. Dynamics of the Wake Vortices of a Two-aircraft Formation, Hazard Assessment at Large Distances and Sensitivity Analysis. In: AIAA Paper, Vol. SCITECH 2022 Forum, no., p. 2022-1198 (2022). doi:10.2514/6.2022-1198.

2. Ransquin, Ignace; Caprace, Denis-Gabriel; Duponcheel, Matthieu; Chatelain, Philippe. Wake Vortex Detection an d Tracking for Aircraft Formation Flight. In: Journal of Guidance, Control and Dynamics, Vol. 44, no. 12, p. 2225-2243 (2021). doi:10.2514/1.G006028.


1. Caprace, Denis-Gabriel; Chatelain, Philippe; Ransquin, Ignace. Aircraft wake sensing.

Conference Papers

1. Caprace, Denis-Gabriel; Ransquin, Ignace; Colognesi, Victor; Chatelain, Philippe. Flow sensing for improved wake harvesting in formation flight. 2022 xxx.

2. Ransquin, Ignace; Duponcheel, Matthieu; Caprace, Denis-Gabriel; Chatelain, Philippe. Analysis of a Formation Flight Wake-Tracking Strategy on the Dynamics of the Formation Wake Vortices. 2022 xxx.

3. Ransquin, Ignace; Caprace, Denis-Gabriel; Duponcheel, Matthieu; Chatelain, Philippe. Vortex sensing and uncertainty propagation for aircraft formation flight. 2022 xxx.

4. Ransquin, Ignace; Chatelain, Philippe. Bio-inspired Wake Tracking for Aircraft Formation Flight Based on Reinforcement Learning. 2021 xxx. doi:10.2514/6.2021-0885.

5. Ransquin, Ignace; Caprace, Denis-Gabriel; Chatelain, Philippe. Large Eddy Simulation of Controlled Aircraft in Formation relying on Wake sensing. 2019 xxx.


1. Ransquin, Ignace. Aircraft wake sensing and tracking strategies towards operational formation flight : assessment of data assimilation, reinforcement learning and control approaches within large eddy simulations, prom. : Chatelain, Philippe, 08/09/2022.