Camilla Zulli
A DNN-based algorithm for multi-constraint intelligent reentry guidance techology for hypersonic gliding vehicle.
Rel. Diego Regruto Tomalino, Sophie Fosson, Lin Cheng. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
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Abstract
A hypersonic vehicle is an aircraft with a flight speed exceeding 5 times the speed of sound, combining the characteristics of both spacecraft and aircraft, with significant military and economic potential. The thesis focuses on a re-entry hypersonic vehicle, which is a spacecraft that travels through space and re-enters the atmosphere of a planet (e.g., Earth). When landing, a safe re-entry is needed. The entry guidance system is crucial for ensuring a successful atmospheric re-entry, particularly for these class of vehicles which face multiple constraints during this critical flight phase. Traditional entry guidance approaches, such as reference trajectory-based guidance (RTG) and numerical predictor–corrector guidance (NPCG), have been widely employed in past missions.
However, the high non-linearity and non-convex path constraints of hypersonic vehicles demand more advanced solutions
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