This paper discusses the use of a hybrid genetic-algorithm/structured H-Infinity technique for the synthesis of the attitude controller of a launch vehicle in atmospheric flight, that guarantees performance while satisfying a set of robustness/stability requirements typical of the industrial practice. The procedure is mostly automated, allows to deliver a gain-scheduling controller at an arbitrary number of points without requiring the designer a significant effort, and it is thus especially suited to reduce the missionisation burden.

Advanced hinf synthesis for launch vehicle attitude control in atmospheric flight / Belletti Araque, José P.; Zavoli, Alessandro; Trotta, Domenico; DE MATTEIS, Guido. - 1:PartF(2021), pp. 1-19. (Intervento presentato al convegno AIAA Science and technology forum and exposition, AIAA SciTech Forum 2021 tenutosi a Virtual) [10.2514/6.2021-1217].

Advanced hinf synthesis for launch vehicle attitude control in atmospheric flight

Alessandro Zavoli;Domenico Trotta;Guido De Matteis
2021

Abstract

This paper discusses the use of a hybrid genetic-algorithm/structured H-Infinity technique for the synthesis of the attitude controller of a launch vehicle in atmospheric flight, that guarantees performance while satisfying a set of robustness/stability requirements typical of the industrial practice. The procedure is mostly automated, allows to deliver a gain-scheduling controller at an arbitrary number of points without requiring the designer a significant effort, and it is thus especially suited to reduce the missionisation burden.
2021
AIAA Science and technology forum and exposition, AIAA SciTech Forum 2021
robust; control launch; vehicle optimization
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Advanced hinf synthesis for launch vehicle attitude control in atmospheric flight / Belletti Araque, José P.; Zavoli, Alessandro; Trotta, Domenico; DE MATTEIS, Guido. - 1:PartF(2021), pp. 1-19. (Intervento presentato al convegno AIAA Science and technology forum and exposition, AIAA SciTech Forum 2021 tenutosi a Virtual) [10.2514/6.2021-1217].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1482215
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