Advanced trajectory optimization, guidance and control strategies for aerospace vehicles : methods and applications / Runqi Chai, Kaiyuan Chen, Lingguo Cui, Senchun Chai, Gokhan Inalhan, Antonios Tsourdos.
Chai, Runqi.; Chen, Kaiyuan.; Cui, Lingguo.; Chai, Senchun.; Inalhan, Gokhan.; Tsourdos, Antonios.
2023
TL545
Available Online

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Title
Advanced trajectory optimization, guidance and control strategies for aerospace vehicles : methods and applications / Runqi Chai, Kaiyuan Chen, Lingguo Cui, Senchun Chai, Gokhan Inalhan, Antonios Tsourdos.
Author
Chai, Runqi.
ISBN
9789819943111 (electronic bk.)
9819943116 (electronic bk.)
9789819943104
9819943108
DOI
https://doi.org/10.1007/978-981-99-4311-1
Publication Details
Singapore : Springer, 2023.
Language
English
Description
1 online resource (272 p.).
Item Number
10.1007/978-981-99-4311-1 doi
Call Number
TL545
Dewey Decimal Classification
629.12
Summary
This book focuses on the design and application of advanced trajectory optimization and guidance and control (G&C) techniques for aerospace vehicles. Part I of the book focuses on the introduction of constrained aerospace vehicle trajectory optimization problems, with particular emphasis on the design of high-fidelity trajectory optimization methods, heuristic optimization-based strategies, and fast convexification-based algorithms. In Part II, various optimization theory/artificial intelligence (AI)-based methods are constructed and presented, including dynamic programming-based methods, model predictive control-based methods, and deep neural network-based algorithms. Key aspects of the application of these approaches, such as their main advantages and inherent challenges, are detailed and discussed. Some practical implementation considerations are then summarized, together with a number of future research topics. The comprehensive and systematic treatment of practical issues in aerospace trajectory optimization and guidance and control problems is one of the main features of the book, which is particularly suitable for readers interested in learning practical solutions in aerospace trajectory optimization and guidance and control. The book is useful to researchers, engineers, and graduate students in the fields of G&C systems, engineering optimization, applied optimal control theory, etc.
Note
4.2.2 Atmospheric Entry Optimal Control Model
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 12, 2023).
Added Author
Chen, Kaiyuan.
Cui, Lingguo.
Chai, Senchun.
Inalhan, Gokhan.
Tsourdos, Antonios.
Series
Springer aerospace technology.
Available in Other Form
Advanced Trajectory Optimization, Guidance and Control Strategies for Aerospace Vehicles
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Intro
Preface
Acknowledgements
Contents
About the Authors
Part I Advanced Trajectory Optimization Methods
1 Review of Advanced Trajectory Optimization Methods
1.1 Introduction
1.2 Mathematical Formulation of the Problem
1.2.1 Continuous Dynamical Systems
1.2.2 Variable/Path Constraints
1.2.3 Mission Objectives
1.2.4 Overall Formulation
1.2.5 Numerical Solution Approach
1.3 Optimization Algorithms
1.3.1 Gradient-Based Methods
1.3.2 Evolutionary-Based Methods
1.3.3 Convexification-Based Methods
1.3.4 Dynamic Programming-Based Methods

1.4 Multi-objective Spacecraft Trajectory Optimization
1.4.1 Multi-objective Evolutionary Algorithms
1.4.2 Multi-objective Transcription Methods
1.5 Stochastic Spacecraft Trajectory Optimization
1.5.1 Chance-Constrained Spacecraft Trajectory Optimization
1.5.2 Chance-Constrained Spacecraft Trajectory Optimization: Stochastic Dynamics
1.6 Recent Practical Applications of the Optimized Trajectory
1.6.1 Design of Integrated Spacecraft Guidance and Control Systems
1.6.2 Design of Spacecraft/Satellite Formation Control Schemes
1.6.3 Database-Based Online Guidance Strategy

2.4.2 Performance of Different Methods
2.4.3 Convergence Analysis for Evolutionary Methods
2.4.4 Computational Performance of Different Methods
2.4.5 Impact of the Bias Selection Strategy and Local Exploitation Process
2.4.6 Impact of the Restart Strategy
2.5 Conclusion
References
3 Highly Fidelity Trajectory Optimization
3.1 Introduction
3.2 Time-Optimal Reconnaissance Maneuver Optimization Problem
3.2.1 Model Dynamics
3.2.2 Flight Constraints and Objective
3.2.3 Overall Trajectory Optimization Formulation
3.3 Solution Method

3.3.1 Radau Pseudospectral Method
3.3.2 A Pipelined Optimization Strategy
3.4 Simulation Results
3.4.1 Simulation Setting
3.4.2 Optimized Results of Using Different Models
3.4.3 Results with and Without Mesh Adaptive Process
3.4.4 Comparative Results and Analysis
3.4.5 Case Studies with Noise-Perturbed Initial Conditions
3.5 Conclusions
References
4 Fast Trajectory Optimization with Chance Constraints
4.1 Introduction
4.2 Atmospheric Entry Optimal Control Problem
4.2.1 Hypersonic Vehicle Dynamics and Constraints

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