1.

Record Nr.

UNINA9910488723103321

Autore

Botelho Afonso

Titolo

Predictive control for spacecraft rendezvous / / Afonso Botelho [et al.]

Pubbl/distr/stampa

Cham, Switzerland : , : Springer, , [2021]

©2021

ISBN

3-030-75696-3

Descrizione fisica

1 online resource (116 pages) : illustrations (chiefly color)

Collana

SpringerBriefs in applied sciences and technology

Disciplina

629.4583

Soggetti

Orbital rendezvous (Space flight)

Space vehicles - Command control systems

Space vehicles - Control systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Intro -- Preface -- Contents -- Introduction Model Predictive Control Relative Orbital Mechanics Rendezvous With Model Predictive Control Conclusions and Future Work.

4.7.1 Fixed Horizon Model Predictive Control -- 4.7.2 Variable Horizon Model Predictive Control -- 4.7.3 Passive Safety -- 4.7.4 Robustness Experiments -- References -- 5 Conclusions and Future Work -- 5.1 Open Research Topics -- References.

Sommario/riassunto

This brief addresses the design of model predictive control algorithms for performing space rendezvous manoeuvres. It consolidates developments within guidance and control algorithms, with the aim of improving the efficiency, safety, and autonomy of these manoeuvres. The brief presents several applications of model predictive control to rendezvous manoeuvres, including Ankersen zero-order-hold particular solution1, which provides a realistic thrust profile. It offers new approaches for rendezvous manoeuvres in elliptical orbits, formulating obstacle avoidance constraints, passive safety constraints, and robustness techniques. It also compares finite-horizon and variable-horizon formulations for model predictive control in the context of performance and computational complexity. Predictive Control for Spacecraft Rendezvous is accessible to academics and students new to the topics of orbital rendezvous and model predictive



control, but also presents compelling subject matter for researchers and professionals in the aerospace industry.