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"Drones Applications industrielles."
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Unmanned aerial vehicles for Internet of Things (IoT) : concepts, techniques, and applications
\"The 15 chapters in this book explore the theoretical as well as a number of technical research outcomes on all aspects of UAVs. UAVs has widely differing applications such as disaster management, structural inspection, goods delivery, transportation, localization, mapping, pollution and radiation monitoring, search and rescue, farming, etc. The advantages of using UAVs are countless and have led the way for the full integration of UAVs, as intelligent objects into the IoT system. The book covers such subjects as: efficient energy management systems in UAV based IoT networks, IoE enabled UAVs, mind-controlled UAV using Brain-Computer Interface (BCI), the importance of AI in realizing autonomous and intelligent flying IoT, blockchain-based solutions for various security issues in UAV-enabled IoT, the challenges and threats of UAVs such as hijacking, privacy, cyber-security, and physical safety\"-- Provided by publisher.
Eyes to the Sky
In the age of the drone, how should we best regulation airspace and protect privacy? In Eyes to the Sky, experts from legal, regulator, policy, and civil liberty communities tackle these pressing problems.
Operations research for unmanned systems
by
Cares, Jeffrey R.
,
Dickmann, John Q., Jr
in
Autonomous vehicles
,
Autonomous vehicles -- Industrial applications
,
Drone aircraft
2016
The first edited volume addressing analysis for unmanned vehicles, with focus on operations research rather than engineering
* The editors have a unique combination of extensive operational experience and technical expertise
* Chapters address a wide-ranging set of examples, domains and applications
* Accessible to a general readership and also informative for experts
Sensitivity Study of Design Parameters for a Fuel Cell Powered Multirotor Drone
by
Apeland, Jørgen
,
Hemmingsen, Tor
,
Pavlou, Dimitrios G.
in
Artificial Intelligence
,
Configurations
,
Control
2021
The use of multirotor drones for industrial applications is accelerating, and fuel cell based propulsion systems are highlighted as a promising approach to improve endurance – one of the current main limitations. Due to multirotor drones’ unique requirements, careful system design is needed to maximize the performance advantage. In this work a sensitivity analysis that quantifies the impact of central system parameters for an X8 multirotor drone with a 2 kW fuel cell hybrid system is presented and discussed. Thrust stand measurements identified a 20–30% efficiency loss from the coaxial configuration, and a ‘single’ configuration can reduce power consumption by 700 W at 25 kg take-off mass. Thus, a smaller fuel cell system can be used, giving an additional 1 kg mass saving and 75–140 W power reduction. Peak endurance is found at a 0.67 energy system weight fraction, and if batteries are improved from 180 Wh/kg to 350 Wh/kg, the energy system mass threshold from where fuel cells are superior rises from 7.4 kg to 8.5 kg. At 700 bar, a 3 L hydrogen cylinder can replace a 6 L at 300 bar, provide a 72-min endurance, and is the preferred option to reach minimum system volume. This work provides guidance in early conceptual stages and insights on how fuel cell based powerplants for multirotors can be improved and optimized to increase their value proposition. Further research can expand the work to cover other system variations and do experimental testing of system performance.
Journal Article
Bipartite Guidance, Navigation and Control Architecture for Autonomous Aerial Inspections Under Safety Constraints
by
Baumanis, Kristaps
,
Punzo, Giuliano
,
Macdonald, Malcolm
in
Airborne/spaceborne computers
,
Artificial Intelligence
,
Autonomous navigation
2019
In this work the autonomous flight of a drone for inspection of sensitive environments is considered. Continuous monitoring, the possibility of override and the minimisation of the on-board computational load are prioritised. The drone is programmed with a Lyapunov vector guidance and nonlinear control to fly a trajectory passed, leg after leg, by a remote ground station. GPS is the main navigation tool used. Computational duties are split between the ground station and the drone’s on board computer, with the latter dealing with the most time critical tasks. This bipartite autonomous system marries recent advancements in autonomous flight with the need for safe and reliable robotic systems to be used for tasks such as inspection or structural health monitoring in industrial environments. A test case and inspection data from a test over flat lead roof structure are presented.
Journal Article