A collision-free formation control strategy for flying in formation is presented. A linear control law is developed by means of Model Predictive Control (MPC) via the dual-mode paradigm [1]. Collision avoidance is dealt with by using Artificial Potential Functions (APFs) to keep a desired safe distance from the obstacles. The main innovation in the proposed approach is that each spacecraft independently performs the collision avoidance manoeuvres and, as a consequence, the APFs-based collision avoidance control is in charge also of the collision avoidance between two spacecraft. The optimality of the solution is discussed and numerical simulations show the effectiveness of the proposed method.

Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions / Menegatti, Danilo; Giuseppi, Alessandro; Pietrabissa, Antonio. - (2022), pp. 564-570. (Intervento presentato al convegno 30th Mediterranean Conference on Control and Automation (MED) tenutosi a Athens; Greece) [10.1109/MED54222.2022.9837252].

Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions

Danilo Menegatti;Alessandro Giuseppi
;
Antonio Pietrabissa
2022

Abstract

A collision-free formation control strategy for flying in formation is presented. A linear control law is developed by means of Model Predictive Control (MPC) via the dual-mode paradigm [1]. Collision avoidance is dealt with by using Artificial Potential Functions (APFs) to keep a desired safe distance from the obstacles. The main innovation in the proposed approach is that each spacecraft independently performs the collision avoidance manoeuvres and, as a consequence, the APFs-based collision avoidance control is in charge also of the collision avoidance between two spacecraft. The optimality of the solution is discussed and numerical simulations show the effectiveness of the proposed method.
2022
30th Mediterranean Conference on Control and Automation (MED)
model predictive control; satellite formation flying; artificial potential functions;
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions / Menegatti, Danilo; Giuseppi, Alessandro; Pietrabissa, Antonio. - (2022), pp. 564-570. (Intervento presentato al convegno 30th Mediterranean Conference on Control and Automation (MED) tenutosi a Athens; Greece) [10.1109/MED54222.2022.9837252].
File allegati a questo prodotto
File Dimensione Formato  
Menegatti_Model_2022.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.83 MB
Formato Adobe PDF
1.83 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1651735
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 4
social impact