Space Engineering

Modeling and Optimization with Case Studies

  • Giorgio Fasano
  • János D. Pintér

Part of the Springer Optimization and Its Applications book series (SOIA, volume 114)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Mathieu Balesdent, Loïc Brevault, Nathaniel B. Price, Sébastien Defoort, Rodolphe Le Riche, Nam-Ho Kim et al.
    Pages 1-48
  3. Guido Colasurdo, Lorenzo Casalino
    Pages 87-102
  4. Stefano Gliozzi, Alessandro Castellazzo, Giorgio Fasano
    Pages 129-150
  5. Dario Izzo, Daniel Hennes, Luís F. Simões, Marcus Märtens
    Pages 151-176
  6. Krishna Teja Malladi, Snezana Mitrovic Minic, Daniel Karapetyan, Abraham P. Punnen
    Pages 177-197
  7. Alessandro Morselli, Roberto Armellin, Pierluigi Di Lizia, Franco Bernelli-Zazzera
    Pages 237-267
  8. Dario Pastrone, Lorenzo Casalino
    Pages 269-285
  9. János D. Pintér, Alessandro Castellazzo, Mariachiara Vola, Giorgio Fasano
    Pages 287-302
  10. Guido Ridolfi, Erwin Mooij
    Pages 303-336
  11. Sven Schäff
    Pages 337-367
  12. Yuriy Stoyan, Tatiana Romanova, Alexander Pankratov, Anna Kovalenko, Peter Stetsyuk
    Pages 369-400
  13. Sophie Tarbouriech, Isabelle Queinnec, Jean-Marc Biannic, Christophe Prieur
    Pages 401-423
  14. Francesco Topputo, Mauro Massari
    Pages 425-442
  15. Christelle Vergé, Jérôme Morio, Pierre Del Moral, Juan Carlos Dolado Pérez
    Pages 443-457
  16. Back Matter
    Pages 485-487

About this book

Introduction

This book presents a selection of advanced case studies that cover a substantial range of issues and real-world challenges and applications in space engineering. Vital mathematical modeling, optimization methodologies and numerical solution aspects of each application case study are presented in detail, with discussions of a range of advanced model development and solution techniques and tools.

Space engineering challenges are discussed in the following contexts:

•Advanced Space Vehicle Design

•Computation of Optimal Low Thrust Transfers

•Indirect Optimization of Spacecraft Trajectories

•Resource-Constrained Scheduling,

•Packing Problems in Space

•Design of Complex Interplanetary Trajectories

•Satellite Constellation Image Acquisition

•Re-entry Test Vehicle Configuration Selection

•Collision Risk Assessment on Perturbed Orbits

•Optimal Robust Design of Hybrid Rocket Engines

•Nonlinear Regression Analysis in Space Engineering<

•Regression-Based Sensitivity Analysis and Robust Design

•Low-Thrust Multi-Revolution Orbit Transfers

•Modeling and Optimization of Balance Layout Problems

•Pilot-Induced Oscillations Alleviation

•Modeling and Optimization of Hybrid Transfers to Near-Earth Objects

•Probabilistic Safety Analysis of the Collision Between Space Debris and Satellite

•Flatness-based Low-thrust Trajectory Optimization for Spacecraft Proximity Operations

The contributing authors are expert researchers and practitioners in either the space engineering and/or in the applied optimization fields. Researchers and practitioners working in various applied aspects of space engineering will find this book practical and informative. Academics, graduate and post-graduate students in aerospace engineering, applied mathematics, operations research, optimization, and optimal control, will find this book useful.  

Keywords

Balancing Cargo accommodation Collision risk assessment Debris-satellite collision Design of experiment (doe) Differential flatness theory Direct collocation transcription Epistemic/aleatory uncertainties Failure detection Global optimization (go) Heuristics/meta-heuristics Hybrid rocket engines Image acquisition Indirect optimization Large-scale problems Low thrust/energy transfers Mathematical modeling Mixed integer nonlinear models (minlp) Multidisciplinary design optimization (mdo) Near earth objects (neo)

Editors and affiliations

  • Giorgio Fasano
    • 1
  • János D. Pintér
    • 2
  1. 1.Exploration and Science Thales Alenia SpaceTurinItaly
  2. 2.PCS Inc.HalifaxCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-41508-6
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-41506-2
  • Online ISBN 978-3-319-41508-6
  • Series Print ISSN 1931-6828
  • Series Online ISSN 1931-6836
  • About this book
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