Afonso Botelho,Baltazar Parreira,Paulo N. Rosa,Joao Miranda Lemos
Predictive Control for Spacecraft Rendezvous
Predictive Control for Spacecraft Rendezvous
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- More about Predictive Control for Spacecraft Rendezvous
Model predictive control is used to design guidance and control algorithms for space rendezvous maneuvers, improving efficiency, safety, and autonomy. It applies to elliptical orbits, obstacle avoidance, passive safety constraints, and robustness techniques. It can be used for both finite-horizon and variable-horizon formulations.
Format: Paperback / softback
Length: 109 pages
Publication date: 25 June 2021
Publisher: Springer Nature Switzerland AG
The design of model predictive control algorithms is crucial for the execution of space rendezvous maneuvers, as they aim to enhance the efficiency, safety, and autonomy of these critical operations. This brief consolidates advancements in guidance and control algorithms to achieve these objectives.
One notable application of model predictive control is the Ankersen zero-order-hold particular solution, which provides a realistic thrust profile for rendezvous maneuvers. This solution is particularly useful in scenarios where precise control is required, such as in elliptical orbits.
Furthermore, the brief offers novel approaches for rendezvous maneuvers in elliptical orbits, considering obstacle avoidance constraints, passive safety constraints, and robustness techniques. It also compares finite-horizon and variable-horizon formulations for model predictive control, highlighting their respective advantages and disadvantages in terms of performance and computational complexity.
This brief is accessible to academics and students with a basic understanding of orbital rendezvous and model predictive control, but it also provides valuable insights for researchers and professionals in the aerospace industry. The topic of predictive control for spacecraft rendezvous is a rapidly evolving field, and this brief serves as a comprehensive resource for those seeking to stay updated on the latest developments and applications.
Weight: 454g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030756956
Edition number: 1st ed. 2021
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