6411680
doi
10.5281/zenodo.6411680
oai:zenodo.org:6411680
Franco, João
Colab +ATLANTIC, Edifício LACS Estrada da Malveira da Serra nº 920, 2750-834, Cascais, Portugal
Milhano, Tiago
GMV, Alameda dos Oceanos, n.º 115, 1990-392 Lisboa, Portugal
Branco, João
GMV, Alameda dos Oceanos, n.º 115, 1990-392 Lisboa, Portugal
Model Predictive Control for On-Board-Optimized Attitude Guidance for Cometary Fly-By - Problem Statement, Solutions and V&V Process
Lourenço, Pedro
GMV, Alameda dos Oceanos, n.º 115, 1990-392 Lisboa, Portugal
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
model predictive control
cometary flyby
constrained attitude guidance
<p>Embedded on-board-optimization-based guidance is a set of guidance schemes that provide spacecraft the capability to plan and perform trajectories under several constraints autonomously. This autonomy will allow the space vehicle to more efficiently perform more challenging goals while dealing with rapidly changing environments, unmodelled/unforeseen dynamics and failure scenarios. However, the unique challenges of on-board applications raise the need for a thorough analysis of the computational efficiency, reliability, accuracy, and robustness of the solution process. This is directly related to how the guidance function is formulated, modelled, and analyzed, a process that should be founded on the understanding of the underlying physics and tailoring of the design to the specific problem. Verification and validation of such guidance schemes, wherever theoretically possible or empirical/numerically otherwise, is an important metric when evaluating the feasibility of the proposed solutions.<br>
This paper proposes a Model Predictive Control (MPC) approach to the constrained attitude guidance problem. The problem is approximated in two ways:<br>
1) A convex quadratically constrained quadratic program (QCQP) form, to be solved numerically by means of a QCQP solver.<br>
2) A convex quadratic program (QP) form with linear constraints, to be handled by means of a QP solver.</p>
Zenodo
2021-06-25
info:eu-repo/semantics/conferencePaper
6411679
1649080188.386611
386406
md5:97e9608f25250a18c3e023c3df37be80
https://zenodo.org/records/6411680/files/Lourenco et al_2021_Model Predictive Control for On-Board-Optimized Attitude Guidance for Cometary.pdf
public
10.5281/zenodo.6411679
isVersionOf
doi