Indoor Navigation Strategies for Aerial Autonomous Systems presents the necessary and sufficient theoretical basis for those interested in working in unmanned aerial vehicles, providing three different approaches to mathematically represent the dynamics of an aerial vehicle.
The book contains detailed information on fusion inertial measurements for orientation stabilization and its validation in flight tests, also proposing substantial theoretical and practical validation for improving the dropped or noised signals. In addition, the book contains different strategies to control and navigate aerial systems.
The comprehensive information will be of interest to both researchers and practitioners working in automatic control, mechatronics, robotics, and UAVs, helping them improve research and motivating them to build a test-bed for future projects.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. About the Authors - p. ix 6. Preface - p. xi 7. Acknowledgments - p. xiii 8. Part I: Background - p. xiii 9. Background - p. 1 10. Chapter 1: State-of-the-Art - p. 1 11. Chapter 2: Modeling Approaches - p. 30 12. Part II: Improving Sensor Signals for Control Purposes - p. 50 13. Improving Sensor Signals for Control Purposes - p. 51 14. Chapter 3: Inertial Sensors Data Fusion for Orientation Estimation - p. 52 15. Chapter 4: Delay Signals & Predictors - p. 74 16. Chapter 5: Data Fusion for UAV Localization - p. 108 17. Part III: Navigation Schemes & Control Strategies - p. 129 18. Navigation Schemes & Control Strategies - p. 131 19. Chapter 6: Nonlinear Control Algorithms with Integral Action - p. 132 20. Chapter 7: Sliding Mode Control - p. 155 21. Chapter 8: Robust Simple Controllers - p. 179 22. Chapter 9: Trajectory Generation, Planning & Tracking - p. 212 23. Chapter 10: Obstacle Avoidance - p. 241 24. Chapter 11: Haptic Teleoperation - p. 261 25. Index - p. 277
Indoor Navigation Strategies for Aerial Autonomous Systems presents the necessary and sufficient theoretical basis for those interested in working in unmanned aerial vehicles, providing three different approaches to mathematically represent the dynamics of an aerial vehicle.
The book contains detailed information on fusion inertial measurements for orientation stabilization and its validation in flight tests, also proposing substantial theoretical and practical validation for improving the dropped or noised signals. In addition, the book contains different strategies to control and navigate aerial systems.
The comprehensive information will be of interest to both researchers and practitioners working in automatic control, mechatronics, robotics, and UAVs, helping them improve research and motivating them to build a test-bed for future projects.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. About the Authors - p. ix 6. Preface - p. xi 7. Acknowledgments - p. xiii 8. Part I: Background - p. xiii 9. Background - p. 1 10. Chapter 1: State-of-the-Art - p. 1 11. Chapter 2: Modeling Approaches - p. 30 12. Part II: Improving Sensor Signals for Control Purposes - p. 50 13. Improving Sensor Signals for Control Purposes - p. 51 14. Chapter 3: Inertial Sensors Data Fusion for Orientation Estimation - p. 52 15. Chapter 4: Delay Signals & Predictors - p. 74 16. Chapter 5: Data Fusion for UAV Localization - p. 108 17. Part III: Navigation Schemes & Control Strategies - p. 129 18. Navigation Schemes & Control Strategies - p. 131 19. Chapter 6: Nonlinear Control Algorithms with Integral Action - p. 132 20. Chapter 7: Sliding Mode Control - p. 155 21. Chapter 8: Robust Simple Controllers - p. 179 22. Chapter 9: Trajectory Generation, Planning & Tracking - p. 212 23. Chapter 10: Obstacle Avoidance - p. 241 24. Chapter 11: Haptic Teleoperation - p. 261 25. Index - p. 277
