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Optimization of Aero-gravity assisted maneuvers for spaceplanes at high atmospheric flight on Earth

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Autor(es):
Murcia-Pineros, Jhonathan O. ; Bevilacqua, Riccardo ; Gaglio, Emanuela ; Prado, F. Antonio B. A. ; De Moraes, Rodolpho V.
Número total de Autores: 5
Tipo de documento: Artigo Científico
Fonte: AIAA SCITECH 2024 FORUM; v. N/A, p. 19-pg., 2024-01-01.
Resumo

Gravity assists are impulse maneuvers that save costs for interplanetary missions, resulting from close approaches to celestial bodies. Aero-Gravity Assist maneuvers offer another solution to reduce mission cost by taking advantage of aerodynamic forces through cruise flights over the atmospheres of minor planets, like the Earth, which is selected because has been used on multiple gravity assist maneuvers. Despite their theoretical feasibility, the technological requirements make them impossible at low altitudes. Therefore, this work focuses on a spaceplane aeromaneuvering at high atmospheric altitudes and in continuum hypersonic flow, with Knudsen Numbers between 10(-3) and 10(-2). It is formulated as an optimal control problem with the dynamic optimization suite GEKKO, and solved via nonlinear programming. Nine different cost functions are analyzed separately: the maximization of longitude, latitude, and velocity at the end of the atmospheric flight; minimization of heat transfer, dynamic pressure, and load factor along the trajectory; minimization of flight time; and maximization of plane inclination and range angle. The results show a successful outcome in all cases, with a conclusive Monte Carlo analysis further demonstrating the robustness of the controller to support uncertainties in the initial conditions and atmospheric density. (AU)

Processo FAPESP: 16/24561-0 - A relevância dos pequenos corpos em dinâmica orbital
Beneficiário:Othon Cabo Winter
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 19/26605-2 - Otimização de manobras aero assistidas com auxílio de propulsão e controle nos ângulos aerodinâmicos
Beneficiário:Jhonathan Orlando Murcia Piñeros
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 22/15564-6 - Controle preditivo de modelo para guiagem ótima de espaçonaves autônomas em manobras aero assistidas por gravidade com propulsão
Beneficiário:Jhonathan Orlando Murcia Piñeros
Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado