In recent years convex optimization has become a prominent technology in space applications, with a special emphasis on Entry, Descent, and Landing scenarios.

In this talk we will follow the genesis and the maturation of pseudospectral convex optimization for EDL, from the basic 3DoF formulation of rocket landing to the more advanced and realistic applications, including the formulation for the CALLISTO demonstrator, a reusable rocket currently developed by DLR, JAXA and CNES together.

Speaker:

Marco Sagliano is a Senior GNC Research Engineer at the German Aerospace Center (DLR), in Bremen, Germany since 2011.

He received his Master's Degrees at the University of Naples Federico II in Italy, in 2008. He worked as a GNC System Engineer at GMV Aerospace from 2008 to 2011, in Madrid, Spain.
In parallel to his research activity at DLR he earned in 2016 a PhD at the University of Bremen in cooperation with TU Delft with a work on real-time capable optimal guidance for the hypersonic entry vehicle SHEFEX-III.

Since 2018 he is visiting GNC Specialist at JAXA, to work on the reusable rocket technologies in the context of the CALLISTO project, jointly developed by DLR, JAXA, and CNES, where he is the lead System Engineer for the Guidance and Control system, and works directly on the aerodynamic control and the landing guidance subsystems.

Since 2024 he's an Associate Editor for the Journal of Guidance, Control, and Dynamics. He's a senior AIAA member, and his technical interests include computational guidance, trajectory optimization, pseudospectral methods, convex optimization and robust control.

03.05.2024