Autonomous Trajectory Planning and Guidance Control for Launch Vehicles

Foreword
Preface
Acknowledgements
Introduction
Contents
1 Review, Prospect and Technical Challenge of Launch Vehicle
	1.1 Review on Development of Launch Vehicle
		1.1.1 Initial Development Stage (1950–1970s)
		1.1.2 Space Shuttle Stage (1970–1990s)
		1.1.3 Commercial Service Stage (1990–2010s)
		1.1.4 Comprehensive Performance Improvement Stage (2010s–Now)
	1.2 Development Prospect of Launch Vehicle
	1.3 Current Development Status of Launch Vehicle Reusable Technology
		1.3.1 Reusable Space Transportation System in Axisymmetric Configuration
		1.3.2 Reusable Space Transportation System in Lifting-body Configuration
	1.4 Development Status of Launch Vehicle Intelligent Autonomous Technology
		1.4.1 Propulsion System Fault Identification and Mission Reconstruction
		1.4.2 Fault Identification and Control Reconfiguration of Actuator
		1.4.3 Autonomous Control Technology
	1.5 Future Development Technical Challenge of Reusable and Intelligent Autonomous Technologies
		1.5.1 Technical Challenge of Reusable Technology
		1.5.2 Technical Challenge of Intelligent Autonomous Technology
	1.6 Conclusions
	References
2 Autonomous Guidance Control for Ascent Flight
	2.1 Introduction
		2.1.1 Traditional Guidance Methods
		2.1.2 Autonomous Guidance Methods
		2.1.3 Summary
	2.2 Motion Models of Launchers
		2.2.1 Motion Models
		2.2.2 Constraints and Objectives
	2.3 Exo-Atmospheric Analytical Guidance Methods
		2.3.1 Basic Closed-Loop Guidance Method for Long March Launch Vehicles (LMLVs)
		2.3.2 Evolutions of the Closed-Loop Guidance Methods
		2.3.3 Prediction-Correction Iterative Guidance Method
	2.4 Joint Optimization of Target Orbit and Flight Path
		2.4.1 State-Triggered-Indices (STI) Based Method for Continuous Powered Phases
		2.4.2 Segmented Rescue Optimization Crossing Coasting Phase
		2.4.3 Multiple Graded Optimization
	2.5 Conclusions
	References
3 Ascent Predictive Guidance for Thrust Drop Fault of Launch Vehicles Using Improved GS-MPSP
	3.1 Introduction
	3.2 Generic Theory of the IGS-MPSP Method
		3.2.1 The Sensitivity Relation for Free-Terminal Time Continuous System
		3.2.2 The Mathematical of IGS-MPSP Method
		3.2.3 The Computation of Sensitive Matrix by Gauss Quadrature Collocation
		3.2.4 The Implementation Step of IGS-MPSP
	3.3 The Ascent Predictive Guidance Under Thrust Drop Fault
		3.3.1 Problem Formulation
		3.3.2 Terminal Constraints
		3.3.3 Solved by the IGS-MPSP
	3.4 Numerical Results
		3.4.1 The Results by the Proposed Method
		3.4.2 Comparison with SOCP Method
	3.5 Conclusion
	References
4 Birkhoff Pseudospectral Method and Convex Programming for Trajectory Optimization
	4.1 Introduction
	4.2 Preliminaries of Convex Programming and PS Method for Optimal Control
		4.2.1 Convex Programming Method for OCP
		4.2.2 PS Method for Convex Optimal Control Problem
	4.3 Well-Conditioned Second-Order Birkhoff PS Method
		4.3.1 Birkhoff Interpolation at GL Points
		4.3.2 Preconditioned Birkhoff PS Method
		4.3.3 Birkhoff PS Method for Convex Optimal Control
	4.4 Application Examples
		4.4.1 Simple Cart Problem
		4.4.2 Rescue Orbit Searching Problem
	4.5 Conclusions
	References
5 Autonomous Descent Guidance via Sequential Pseudospectral Convex Programming
	5.1 Introduction
	5.2 Mission and Vehicle
		5.2.1 Vehicle and Mission Overview
		5.2.2 Rocket Modeling
	5.3 Problem Formulation
	5.4 Convex Formulation
	5.5 Sequential Pseudospectral Convex Programming
		5.5.1 Discretization
		5.5.2 Dynamics
		5.5.3 Boundary Conditions
		5.5.4 Linking Conditions
		5.5.5 Cost
		5.5.6 Constraints—Powered Landing
		5.5.7 Initialization
		5.5.8 Convergence Criterion
	5.6 Numerical Results
		5.6.1 Aerodynamic Descent—Nominal
		5.6.2 Aerodynamic Descent—Dispersed Cases
		5.6.3 Powered Landing—Nominal
		5.6.4 Powered Landing—Dispersed Cases
	5.7 Conclusions
	References
6 Simultaneous Trajectory Optimization for Adaptive Powered Descent
	6.1 Introduction
	6.2 Multi-point Powered Descent Based on Optimal Sensitivity
		6.2.1 Problem Formulation
		6.2.2 Optimal Sensitivity
		6.2.3 Multi-point Guidance Algorithm
		6.2.4 Simulation Results
	6.3 Highway Powered Descent Based on Successive Convexification
		6.3.1 Problem Formulation
		6.3.2 Successive Convexification
		6.3.3 Highway Guidance Algorithm
		6.3.4 Simulation Results
	6.4 Conclusions
	References
7 Aerodynamic Parameter Estimation for Launch Vehicles
	7.1 Introduction
		7.1.1 What is Aerodynamic Parameter Estimation
		7.1.2 Approaches for Aerodynamic Parameters Estimation
	7.2 Statistic Criterion Based Aerodynamic Parameter Estimation
	7.3 Numerical Results
	7.4 Conclusions
	References
Appendix  Conclusions