Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems - Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai

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

Buch | Softcover
207 Seiten
2020 | 1st ed. 2020
Springer Verlag, Singapore
978-981-13-9847-6 (ISBN)
171,19 inkl. MwSt
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.

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. 467-480R. 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

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.

Erscheinungsdatum
Reihe/Serie Springer Aerospace Technology
Zusatzinfo 65 Illustrations, color; 19 Illustrations, black and white; XVII, 207 p. 84 illus., 65 illus. in color.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Analysis
Technik Elektrotechnik / Energietechnik
Technik Fahrzeugbau / Schiffbau
Technik Luft- / Raumfahrttechnik
Schlagworte Chance constraint • Gradient-based approach • Heuristic method • optimal control • Optimal guidance • spacecraft • Trajectory optimization
ISBN-10 981-13-9847-X / 981139847X
ISBN-13 978-981-13-9847-6 / 9789811398476
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Grundlagen – Anwendungen – Perspektiven

von Matthias Homeister

Buch | Softcover (2022)
Springer Vieweg (Verlag)
34,99
Eine Einführung in die Systemtheorie

von Margot Berghaus

Buch | Softcover (2022)
UTB (Verlag)
25,00
was jeder über Informatik wissen sollte

von Timm Eichstädt; Stefan Spieker

Buch | Softcover (2024)
Springer Vieweg (Verlag)
37,99