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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems
Buch von Runqi Chai (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor
Dr. Runqi Chai's research interests include spacecraft trajectory optimization, multi-objective optimization, optimal control theory, model predictive control and chance-constrained optimization. Currently he serves as an active reviewer for several international publications including IEEE and AIAA.
The list of Runqi Chai's publications is as follows:
R. Chai, A. Savvaris, A. Tsourdos, S. Chai, and Y. Xia, Trajectory Optimization of Space Maneuver Vehicle Using a Hybrid Optimal Control Solver. IEEE Transactions on Cybernetics, 2019, vol. 49, no. 2, pp. 467-480
R. Chai, A. Savvaris, and S. Chai*, Integrated missile guidance and control using optimization-based predictive control, Nonlinear Dynamics, 2019, 1-17, Available online.
R. Chai, A. Savvaris, A. Tsourdos, S. Chai*, and Y. Xia, Optimal fuel consumption finite-thrust orbital hopping of aeroassisted spacecraft, Aerospace Science and Technology, 2018, vol. 75, no. 4, pp. 172-182
Zusammenfassung

Systematically introduces a range of optimization approaches to spacecraft trajectory optimization problems

Describes a novel hybrid optimization strategy

Presents new multi-objective approaches to finding optimal trade-off solutions with preference requirements

Provides an in-depth analysis of chance constraint handling algorithms

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2019
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Springer Aerospace Technology
Inhalt: xvii
207 S.
19 s/w Illustr.
65 farbige Illustr.
207 p. 84 illus.
65 illus. in color.
ISBN-13: 9789811398445
ISBN-10: 9811398445
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Chai, Runqi
Chai, Senchun
Tsourdos, Antonios
Savvaris, Al
Auflage: 1st ed. 2020
Hersteller: Springer Singapore
Springer Nature Singapore
Springer Aerospace Technology
Maße: 241 x 160 x 18 mm
Von/Mit: Runqi Chai (u. a.)
Erscheinungsdatum: 16.08.2019
Gewicht: 0,512 kg
Artikel-ID: 116822030
Über den Autor
Dr. Runqi Chai's research interests include spacecraft trajectory optimization, multi-objective optimization, optimal control theory, model predictive control and chance-constrained optimization. Currently he serves as an active reviewer for several international publications including IEEE and AIAA.
The list of Runqi Chai's publications is as follows:
R. Chai, A. Savvaris, A. Tsourdos, S. Chai, and Y. Xia, Trajectory Optimization of Space Maneuver Vehicle Using a Hybrid Optimal Control Solver. IEEE Transactions on Cybernetics, 2019, vol. 49, no. 2, pp. 467-480
R. Chai, A. Savvaris, and S. Chai*, Integrated missile guidance and control using optimization-based predictive control, Nonlinear Dynamics, 2019, 1-17, Available online.
R. Chai, A. Savvaris, A. Tsourdos, S. Chai*, and Y. Xia, Optimal fuel consumption finite-thrust orbital hopping of aeroassisted spacecraft, Aerospace Science and Technology, 2018, vol. 75, no. 4, pp. 172-182
Zusammenfassung

Systematically introduces a range of optimization approaches to spacecraft trajectory optimization problems

Describes a novel hybrid optimization strategy

Presents new multi-objective approaches to finding optimal trade-off solutions with preference requirements

Provides an in-depth analysis of chance constraint handling algorithms

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2019
Fachbereich: Nachrichtentechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Springer Aerospace Technology
Inhalt: xvii
207 S.
19 s/w Illustr.
65 farbige Illustr.
207 p. 84 illus.
65 illus. in color.
ISBN-13: 9789811398445
ISBN-10: 9811398445
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Chai, Runqi
Chai, Senchun
Tsourdos, Antonios
Savvaris, Al
Auflage: 1st ed. 2020
Hersteller: Springer Singapore
Springer Nature Singapore
Springer Aerospace Technology
Maße: 241 x 160 x 18 mm
Von/Mit: Runqi Chai (u. a.)
Erscheinungsdatum: 16.08.2019
Gewicht: 0,512 kg
Artikel-ID: 116822030
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