Design of trajectory optimization approach for space maneuver vehicle skip entry problems /

Design of trajectory optimization approach for space maneuver vehicle skip entry problems /

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Bibliographic Details
Author / Creator:	Chai, Runqi, author.
Imprint:	Singapore : Springer, [2020] ©2020
Description:	1 online resource : illustrations (some color).
Language:	English
Series:	Springer aerospace technology, 1869-1730 Springer aerospace technology.
Subject:	Space trajectories. Space trajectories.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12601809

Hidden Bibliographic Details
Other authors / contributors:	Savvaris, Al, author. Tsourdos, Antonios, author. Chai, Senchun, author.
ISBN:	9789811398452 9811398453 9789811398445 9811398445 9789811398445 9789811398469 9811398461 9789811398476 981139847X
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references. Online resource; title from PDF title page (SpringerLink, viewed August 28, 2019).
Summary:	This book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design of a novel hybrid optimization strategy that combines an initial guess generator with an improved gradient-based inner optimizer. Further, it highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription methods and multi-objective evolutionary algorithms. In its final sections, the book studies spacecraft flight scenarios with noise-perturbed dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks. The comprehensive and systematic treatment of practical issues in spacecraft trajectory optimization is one of the books major features, making it particularly suited for readers who are seeking practical solutions in spacecraft trajectory optimization. It offers a valuable asset for researchers, engineers, and graduate students in GNC systems, engineering optimization, applied optimal control theory, etc.
Other form:	Printed edition: 9789811398445 Printed edition: 9789811398469 Printed edition: 9789811398476
Standard no.:	10.1007/978-981-13-9845-2 10.1007/978-981-13-9

Description
Summary:	This book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design of a novel hybrid optimization strategy that combines an initial guess generator with an improved gradient-based inner optimizer. Further, it highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription methods and multi-objective evolutionary algorithms. In its final sections, the book studies spacecraft flight scenarios with noise-perturbed dynamics and probabilistic constraints, and designs and validates new chance-constrained optimal control frameworks. <br> The comprehensive and systematic treatment of practical issues in spacecraft trajectory optimization is one of the book's major features, making it particularly suited for readers who are seeking practical solutions in spacecraft trajectory optimization. It offers a valuable asset for researchers, engineers, and graduate students in GNC systems, engineering optimization, applied optimal control theory, etc.
Physical Description:	1 online resource : illustrations (some color).
Bibliography:	Includes bibliographical references.
ISBN:	9789811398452 9811398453 9789811398445 9811398445 9789811398469 9811398461 9789811398476 981139847X
ISSN:	1869-1730