This paper presents a novel Nonlinear Model Predictive Control strategy for autonomous guidance and control in high-thrust quasi-impulsive maneuvers. A sparse-in-time thrust behavior is promoted within the performance index. Sparsity and bang-bang behavior are indeed important features in view of the propellant consumption reduction. The guidance and control algorithm takes advantage of the so-called Modified Equinoctial Orbital Elements, which allow a reduction of potential numerical singularities with respect to the standard Keplerian elements. As case study, a non-coplanar Low Earth Orbit - Geostationary Orbit transfer mission is presented. In this case study, we show the effectiveness of the proposed strategy, compared to other approaches derived from classical astrodynamics.

NMPC-based guidance and control for autonomous high-thrust non-coplanar LEO-GEO missions / Pagone, Michele; Boggio, Mattia; Novara, Carlo; Massotti, Luca. - ELETTRONICO. - (2022). ((Intervento presentato al convegno 73nd International Astronautical Congress tenutosi a Paris, France nel 18-22 September, 2022.

NMPC-based guidance and control for autonomous high-thrust non-coplanar LEO-GEO missions

Michele Pagone;Mattia Boggio;Carlo Novara;Luca Massotti
2022

Abstract

This paper presents a novel Nonlinear Model Predictive Control strategy for autonomous guidance and control in high-thrust quasi-impulsive maneuvers. A sparse-in-time thrust behavior is promoted within the performance index. Sparsity and bang-bang behavior are indeed important features in view of the propellant consumption reduction. The guidance and control algorithm takes advantage of the so-called Modified Equinoctial Orbital Elements, which allow a reduction of potential numerical singularities with respect to the standard Keplerian elements. As case study, a non-coplanar Low Earth Orbit - Geostationary Orbit transfer mission is presented. In this case study, we show the effectiveness of the proposed strategy, compared to other approaches derived from classical astrodynamics.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2970873