2021-06-252021-06-252018Sánchez 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.2405-8963https://hdl.handle.net/11441/114850The 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.application/pdf6 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Spacecraft autonomyTrajectory planningOptimal trajectoryConstrained controlinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess10.1016/j.ifacol.2018.07.08021695846