國立虎尾科技大學 |

Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems/ by Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai.
Author:	Chai, Runqi.
other author:	Savvaris, Al.
Description:	XVII, 207 p. 84 illus., 65 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://doi.org/10.1007/978-981-13-9845-2
ISBN:	9789811398452

Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems
Chai, Runqi.

Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems[electronic resource] /by Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai. - 1st ed. 2020. - XVII, 207 p. 84 illus., 65 illus. in color.online resource. - Springer Aerospace Technology,1869-1730. - Springer Aerospace Technology,.

Introduction -- Overview of Trajectory Optimization Techniques -- Modelling of the Trajectory Optimization Problems -- Performance Analysis of Different Optimization Strategies -- Hybrid Optimization Methods with Enhanced Convergence Ability -- Multi-Objective Trajectory Optimization Problem -- Real-Time Optimal Guidance Strategies for Space Maneuver Vehicles -- Stochastic Trajectory Optimization Problems with Chance Constraints -- Appendix -- References -- Index.

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 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.

ISBN: 9789811398452

Standard No.: 10.1007/978-981-13-9845-2doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems
LDR:03222nam a22004095i 4500 001 1018408
003 DE-He213
005 20200703045335.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811398452 $9 978-981-13-9845-2
024 7 $a 10.1007/978-981-13-9845-2 $2 doi
035 $a 978-981-13-9845-2
050 4 $a TJ212-225
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Chai, Runqi. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1313400
245 1 0 $a Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems $h [electronic resource] / $c by Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XVII, 207 p. 84 illus., 65 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer Aerospace Technology, $x 1869-1730
505 0 $a Introduction -- Overview of Trajectory Optimization Techniques -- Modelling of the Trajectory Optimization Problems -- Performance Analysis of Different Optimization Strategies -- Hybrid Optimization Methods with Enhanced Convergence Ability -- Multi-Objective Trajectory Optimization Problem -- Real-Time Optimal Guidance Strategies for Space Maneuver Vehicles -- Stochastic Trajectory Optimization Problems with Chance Constraints -- Appendix -- References -- Index.
520 $a 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 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.
650 0 $a Control engineering. $3 1249728
650 0 $a Aerospace engineering. $3 686400
650 0 $a Astronautics. $3 646219
650 0 $a Calculus of variations. $3 527927
650 1 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Aerospace Technology and Astronautics. $3 683885
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 593942
700 1 $a Savvaris, Al. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1313401
700 1 $a Tsourdos, Antonios. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 830541
700 1 $a Chai, Senchun. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1313402
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811398445
776 0 8 $i Printed edition: $z 9789811398469
776 0 8 $i Printed edition: $z 9789811398476
830 0 $a Springer Aerospace Technology, $x 1869-1730 $3 1257171
856 4 0 $u https://doi.org/10.1007/978-981-13-9845-2
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)