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Ponencia
A Predictive Guidance Algorithm for Autonomous Asteroid Soft Landing
Autor/es | Sánchez Merino, Julio César
Gavilán Jiménez, Francisco Vázquez Valenzuela, Rafael |
Departamento | Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos |
Fecha de publicación | 2018 |
Fecha de depósito | 2021-06-25 |
Publicado en |
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ISBN/ISSN | 2405-8963 |
Resumen | The objective of this work is to present a closed-loop guidance algorithm for landing a probe on an irregular shaped rotating asteroid. The main assumption is that the spacecraft is orbiting close to the asteroid and has ... The objective of this work is to present a closed-loop guidance algorithm for landing a probe on an irregular shaped rotating asteroid. The main assumption is that the spacecraft is orbiting close to the asteroid and has a continuous propulsion system enabling it to do a powered descent. The goal is to minimize fuel consumption while avoiding collision with the asteroid during the manoeuvre. This non-convex time-continuous optimal control problem is transformed to a convex static program by relaxing some constraints, discretizing and using an iterative method to handle with the asteroid gravity field non-linearities. Then, a guidance algorithm based on Model Predictive Control is applied with the purpose of coping with unmodelled dynamics and disturbances. Numerical results are showed and discussed. |
Cita | Sánchez Merino, J.C., Gavilán Jiménez, F. y Vázquez Valenzuela, R. (2018). A Predictive Guidance Algorithm for Autonomous Asteroid Soft Landing. En IFAC Workshop Networked & Autonomous Air & Space Systems (6-11), Santa Fe, New Mexico, EE.UU.: Elsevier. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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1-s2.0-S2405896318308231-main.pdf | 1.282Mb | [PDF] | Ver/ | |