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Indoor navigation strategies for aerial autonomous systems /

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 detail...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Castillo, Pedro, 1975- (Autor), Mu�noz Hern�andez, Laura Elena (Autor), Garc�ia Gil, Pedro (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford, United Kingdom : Butterworth-Heinemann/Elsevier, [2017]
Temas:
Acceso en línea:Texto completo

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100 1 |a Castillo, Pedro,  |d 1975-  |e author. 
245 1 0 |a Indoor navigation strategies for aerial autonomous systems /  |c Pedro Castillo Garc�ia, Laura Elena Munoz Hernandez, Pedro Garc�ia Gil. 
264 1 |a Oxford, United Kingdom :  |b Butterworth-Heinemann/Elsevier,  |c [2017] 
300 |a 1 online resource (xiii, 286 pages .) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Front Cover; Indoor Navigation Strategies for Aerial Autonomous Systems; Copyright; Contents; About the Authors; Preface; Acknowledgments; Part 1 Background; 1 State-of-the-Art; 1.1 Mathematical Representation of the Vehicle Dynamics; 1.2 Attitude Estimation Using Inertial Sensors; 1.3 Delay Systems & Predictors; 1.4 Data Fusion for UAV Localization; 1.5 Control & Navigation Algorithms; 1.6 Trajectory Generation & Tracking; 1.7 Obstacle Avoidance; 1.8 Teleoperation; References; 2 Modeling Approaches; 2.1 Force and Moment in a Rotor; 2.2 Euler-Lagrange Approach; 2.3 Newton-Euler Approach. 
505 8 |a 2.4 Quaternion Approach2.5 Discussion; References; Part 2 Improving Sensor Signals for Control Purposes; 3 Inertial Sensors Data Fusion for Orientation Estimation; 3.1 Attitude Representation; 3.2 Sensor Characterization; 3.3 Attitude Estimation Algorithms; 3.4 A Computationally-Efficient Kalman Filter; 3.5 Discussion; References; 4 Delay Signals & Predictors; 4.1 Observer-Predictor Algorithm for Compensation of Measurement Delays; 4.2 State Predictor-Control Scheme; 4.3 Discussion; References; 5 Data Fusion for UAV Localization; 5.1 Sensor Data Fusion. 
505 8 |a 5.2 Prototype and Numerical Implementation5.3 Flight Tests and Experimental Results; 5.4 OptiTrack Measurements vs EKF Estimation; 5.5 Rotational Optical Flow Compensation; 5.6 Discussion; References; Part 3 Navigation Schemes & Control Strategies; 6 Nonlinear Control Algorithms with Integral Action; 6.1 From PD to PID Controllers; 6.2 Saturated Controllers with Integral Component; 6.3 Integral and Adaptive Backstepping Control -- IAB; 6.4 Discussion; References; 7 Sliding Mode Control; 7.1 From the Nonlinear Attitude Representation to Linear MIMO Expression. 
505 8 |a 7.2 Nonlinear Optimal Controller with Integral Sliding Mode Design7.3 Numerical Validation; 7.4 Real-Time Validation; 7.5 Discussion; References; 8 Robust Simple Controllers; 8.1 Nonlinear Robust Algorithms Based on Saturation Functions; 8.2 Robust Control Based on an Uncertainty Estimator; 8.3 Discussion; References; 9 Trajectory Generation, Planning & Tracking; 9.1 Quadrotor Mathematical Description; 9.2 Time-Optimal Trajectory Generation; 9.3 UAV Routing Problem for Inspection-Like Missions; 9.4 Trajectory Tracking Problem; 9.5 Simulation Results; 9.6 Discussion; References. 
505 8 |a 10 Obstacle Avoidance10.1 Artificial Potential Field Method; 10.2 Obstacle Avoidance Algorithm; 10.3 Limit-Cycle Obstacle Avoidance; 10.4 Discussion; References; 11 Haptic Teleoperation; 11.1 Experimental Setup; 11.2 Collision Avoidance; 11.3 Haptic Teleoperation; 11.4 Real-Time Experiments; 11.5 Discussion; References; Index; Back Cover. 
520 |a 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. 
650 0 |a Drone aircraft  |x Control systems. 
650 0 |a Navigation (Aeronautics) 
650 6 |a Drones  |x Syst�emes de commande.  |0 (CaQQLa)201-0438978 
650 6 |a Navigation (A�eronautique)  |0 (CaQQLa)201-0014465 
650 7 |a TECHNOLOGY & ENGINEERING  |x Military Science.  |2 bisacsh 
650 7 |a Drone aircraft  |x Control systems.  |2 fast  |0 (OCoLC)fst00898350 
650 7 |a Navigation (Aeronautics)  |2 fast  |0 (OCoLC)fst01035141 
655 0 |a Electronic books. 
655 4 |a Electronic Books. 
700 1 |a Mu�noz Hern�andez, Laura Elena,  |e author. 
700 1 |a Garc�ia Gil, Pedro,  |e author. 
773 0 |t Online access: O'Reilly Media, Inc. O'Reilly Online Learning Platform: Academic edition (EZproxy Access) 
776 0 8 |i Print version:  |a Castillo, Pedro, 1975-  |t Indoor navigation strategies for aerial autonomous systems.  |z 0128051892  |z 9780128051894  |w (OCoLC)958449100 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128051894  |z Texto completo