Autonomous Control of Unmanned Aerial Vehicles

• Autore: Becerra Victor
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 electronic resource (270 p.)
• Soggetto non controllato: super twisting sliding mode controller (STSMC); monocular visual SLAM; modulation; bio-inspiration; simulation; horizontal control; sensor fusion; ADRC; high-order sliding mode; over-the-horizon air confrontation; longitudinal motion model; autonomous control; real-time ground vehicle detection; maneuver decision; nonlinear dynamics; UAV automatic landing; harmonic extended state observer; image processing; General Visual Inspection; actuator faults; actuator fault; remote sensing; aerial infrared imagery; agricultural UAV; SC-FDM; tilt rotors; mass eccentricity; wind disturbance; decoupling algorithm; adaptive discrete mesh; disturbance; super twisting extended state observer (STESO); heuristic exploration; sliding mode control; UAS; Q-Network; UAV communication system; UAV; reinforcement learning; autonomous landing area selection; peak-to-average power ratio (PAPR); slung load; aircraft maintenance; flight mechanics; octree; unmanned aerial vehicle; convolutional neural network; aircraft; performance evaluation; quadrotor; vertical take off; data link; path planning; coaxial-rotor; fixed-time extended state observer (FTESO); multi-UAV system; hardware-in-the-loop; distributed swarm control; vertical control
• Sommario/riassunto: Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.
• Titolo autorizzato: Autonomous Control of Unmanned Aerial Vehicles
• ISBN: 3-03921-031-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346692103321
• Lo trovi qui: Univ. Federico II