Fundamentals of Aerospace Navigation and Guidance ( Cambridge Aerospace Series )

Publication series :Cambridge Aerospace Series

Author: Pierre T. Kabamba; Anouck R. Girard  

Publisher: Cambridge University Press‎

Publication year: 2014

E-ISBN: 9781316147306

P-ISBN(Paperback): 9781107070943

Subject: V448 Guidance and Control

Keyword: 能源与动力工程

Language: ENG

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Fundamentals of Aerospace Navigation and Guidance

Description

This text covers fundamentals used in the navigation and guidance of modern aerospace vehicles, in both atmospheric and space flight. It can be used as a textbook supporting a graduate level course on aerospace navigation and guidance, a guide for self-study, or a resource for practicing engineers and researchers. It begins with an introduction that discusses why navigation and guidance ought to be considered together and delineates the class of systems of interest in navigation and guidance. The book then presents the necessary fundamentals in deterministic and stochastic systems theory and applies them to navigation. Next, the book treats optimization and optimal control for application in optimal guidance. In the final chapter, the book introduces problems where two competing controls exercise authority over a system, leading to differential games. Fundamentals of Aerospace Navigation and Guidance features examples illustrating concepts and homework problems at the end of all chapters.

Chapter

2.1.2 Properties of Linear Dynamic Systems

2.2 Observability

2.3 Time Invariant Systems

2.3.1 Stability of Linear Time Invariant Systems

2.3.2 BIBO Stability of Linear Time Invariant Systems

2.3.3 Observability of Linear Time Invariant Systems

2.4 The Method of Adjoints

2.5 Controllability and Duality

2.6 Summary of Key Results

2.7 Bibliographic Notes for Further Reading

2.8 Homework Problems

3 Stochastic Systems Theory

3.1 Probability Spaces

3.2 Random Variables and Distributions

3.3 Expected Value and Characteristic Function

3.4 Independence and Correlation

3.5 The Gaussian Distribution

3.6 Random Processes

3.7 Gauss--Markov Processes

3.8 Linear Gauss--Markov Models

3.9 Summary of Key Results

3.10 Bibliographic Notes for Further Reading

3.11 Homework Problems

4 Navigation

4.1 Position Fixing: The Ideal Case

4.2 Position Fixing: Error Analysis

4.3 Position Fixing: Redundant Measurements

4.4 Examples of Fixes

4.5 Inertial Navigation

4.5.1 Inertially Stabilized Inertial Navigation Systems

4.5.2 Strapped Down Inertial Navigation Systems

4.6 Asymptotic Observers

4.7 The Kalman Filter

4.8 The Extended Kalman Filter

4.9 Clock Corrections

4.10 Navigation Hardware

4.11 Summary of Key Results

4.12 Bibliographic Notes for Further Reading

4.13 Homework Problems

5 Homing Guidance

5.1 Fundamentals of Homing

5.2 Pursuit Guidance

5.2.1 Terminal Phase Analysis

5.2.2 Approximate Miss Distance Analysis

5.2.3 Exact Miss Distance Analysis

5.3 Fixed Lead Guidance

5.4 Constant Bearing Guidance

5.5 Proportional Navigation

5.6 Linearized Proportional Navigation

5.6.1 Miss due to Launch Error

5.6.2 Miss due to Step Target Acceleration

5.6.3 Miss due to Target Sinusoidal Motion

5.6.4 Miss due to Noise

5.6.5 Use of Power Series Solution

5.7 Beam Rider Guidance

5.8 Summary of Key Results

5.9 Bibliographic Notes for Further Reading

5.10 Homework Problems

6 Ballistic Guidance

6.1 The Restricted Two-Body Problem

6.2 The Two-Dimensional Hit Equation

6.3 In-Plane Error Analysis

6.4 Three-Dimensional Error Analysis

6.4.1 Actual Flight Time Approximation

6.4.2 Down-Range Miss Distance, M[sub(DR)]

6.4.3 Cross-Range Miss Distance, M[sub(CR)]

6.5 Effects of the Earth's Rotation

6.6 Effects of Earth's Oblateness and Geophysical Uncertainties

6.6.1 Effects of Other Perturbations

6.7 General Solution of Ballistic Guidance Problems

6.7.1 General Framework

6.7.2 Problem Formulation

6.7.3 Examples

6.7.4 Targeting

6.7.5 Miss Analysis

6.8 Summary of Key Results

6.9 Bibliographic Notes for Further Reading

6.10 Homework Problems

7 Midcourse Guidance

7.1 Velocity-to-Be-Gained Guidance

7.1.1 Velocity-to-Be-Gained Guidance with Unlimited Thrust

7.1.2 Velocity-to-Be-Gained Guidance with Limited Thrust

7.2 Guidance by State Feedback

7.3 Combined Navigation and Guidance

7.4 Summary of Key Results

7.5 Bibliographic Notes for Further Reading

7.6 Homework Problems

8 Optimization

8.1 Unconstrained Optimization on R[sup(n)]

8.2 Constrained Optimization on R[sup(n)]

8.2.1 Lagrange Multipliers

8.2.2 Second-Order Conditions

8.3 Inequality Constraints on R[sup(n)]

8.4 Optimal Control of Discrete-Time Systems

8.5 Summary of Key Results

8.6 Bibliographic Notes for Further Reading

8.7 Homework Problems

9 Optimal Guidance

9.1 Problem Formulation

9.2 Examples

9.3 Optimal Control without Control Constraints

9.4 The Maximum Principle

9.4.1 Greed

9.4.2 The Transversality Conditions

9.4.3 Target Sets

9.4.4 Time-Optimal Control of Double Integrator

9.4.5 Optimal Evasion through Jinking

9.5 Dynamic Programming

9.5.1 Motivational Example: Dynamic Programming

9.5.2 The Principle of Optimality

9.5.3 Backward Dynamic Programming

9.5.4 Continuous-Time Dynamic Programming

9.5.5 The Linear Quadratic Regulator

9.5.6 The Linear Quadratic Gaussian Regulator

9.5.7 Relationship between the Maximum Principle and Dynamic Programming

9.5.8 The Hamilton–Jacobi–Bellman Equation

9.5.9 Dynamic Programming Summary

9.6 The Maximum Principle and Dynamic Programming

9.7 Summary of Key Results

9.8 Bibliographic Notes for Further Reading

9.9 Homework Problems

10 Introduction to Differential Games

10.1 Taxonomy of Two-Player Games

10.2 Example of a Simple Pursuit Game: Two-Player Football Scrimmage

10.2.1 Modeling

10.2.2 Analysis

10.2.3 The Apollonius Circle Theorem

10.2.4 Solution to the Football Two-Player Scrimmage Problem

10.3 The Bellman--Isaacs Equation

10.4 The Homicidal Chauffeur: Modeling

10.5 The Homicidal Chauffeur: Features of the Solution

10.6 A Game-Theoretic View of Proportional Navigation

10.7 Summary of Key Results

10.8 Bibliographic Notes for Further Reading

10.9 Homework Problems

Epilogue

Appendix A: Useful Definitions and Mathematical Results

A.1 Results from Topology

A.2 Results from Linear Algebra

A.3 Taylor's Theorem

A.4 Newton's Method

A.5 The Implicit Function Theorem

Bibliography

Index

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