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

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Part of the Springer Aerospace Technology book series (SAT)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
    Pages 1-6
  3. Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
    Pages 7-25
  4. Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
    Pages 27-53
  5. Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
    Pages 55-72
  6. Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
    Pages 73-97
  7. Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
    Pages 99-132
  8. Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
    Pages 133-161
  9. Runqi Chai, Al Savvaris, Antonios Tsourdos, Senchun Chai
    Pages 163-191
  10. Back Matter
    Pages 193-207

About this book

Introduction

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.

Keywords

Spacecraft Trajectory optimization Optimal control Gradient-based approach Heuristic method Optimal guidance Chance constraint

Authors and affiliations

  1. 1.Cranfield UniversityCranfield, BedfordUK
  2. 2.Cranfield UniversityCranfield, BedfordUK
  3. 3.Cranfield UniversityCranfield, BedfordUK
  4. 4.School of AutomationBeijing Institute of TechnologyBeijingChina

About the authors

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

Bibliographic information