Review of Unmanned Aircraft System (UAS)

2013 ◽  
Author(s):  
Suraj G. Gupta ◽  
Mangesh Ghonge ◽  
Pradip M. Jawandhiya
Keyword(s):  
Unmanned Aircraft ◽  
Unmanned Aircraft System ◽  
Aircraft System

Magnetic and magneto‐gradiometric surveying using a simulated unmanned aircraft system

2011 ◽  
Author(s):  
Raymond Caron ◽  
Claire Samson ◽  
Paul Straznicky ◽  
Stephen Ferguson ◽  
Reed Archer ◽  
...  
Keyword(s):  
Unmanned Aircraft ◽  
Unmanned Aircraft System ◽  
Aircraft System

Proposed Design of a Trans-Sonic Unmanned Aircraft System as a Platform for Understanding Supersonic Flight Design

2021 ◽  
Author(s):  
Skyler M. Jacob ◽  
Johnathan Burgess ◽  
Colin Watson ◽  
Jake Compton ◽  
Gaurav Jalan ◽  
...  
Keyword(s):  
Unmanned Aircraft ◽  
Unmanned Aircraft System ◽  
Supersonic Flight ◽  
Aircraft System

Development of a small unmanned aircraft system to derive CO2 emissions of anthropogenic point sources

2021 ◽  
Author(s):  
Maximilian Reuter ◽  
Heinrich Bovensmann ◽  
Michael Buchwitz ◽  
Jakob Borchard ◽  
Sven Krautwurst ◽  
...  
Keyword(s):  
Point Sources ◽  
Unmanned Aircraft ◽  
Mitigation Strategies ◽  
Observation System ◽  
Unmanned Aircraft System ◽  
Ancillary Data ◽  
Flight Pattern ◽  
Airborne Measurements ◽  
Wind Measurements ◽  
Aircraft System

<p>A reduction of the anthropogenic emissions of CO<sub>2</sub> (carbon dioxide) is necessary to stop or slow down man-made climate change. To verify mitigation strategies, a global monitoring system such as the envisaged European Copernicus anthropogenic CO<sub>2</sub> monitoring mission (CO2M) is required. Those satellite data are going to be complemented and validated with airborne measurements. UAV (unmanned aerial vehicle) based measurements can provide a cost-effective way to contribute to these activities. Here we present the development of a sUAS (small unmanned aircraft system) to quantify the CO<sub>2</sub> emissions of a nearby point source from its downwind mass flux without the need for any ancillary data. Specifically, CO<sub>2</sub> is measured by an in situ NDIR (non-dispersive infrared) detector and the wind speed and direction is measured with a 2D ultrasonic acoustic resonance anemometer. In order to minimize the effect of rotor downwash, we calibrate the anemometer by analyzing wind measurements taken while following a suitable flight pattern and assuming stationary wind conditions. We quantify the quality of the CO<sub>2</sub> and wind measurements with an in-flight validation at the ICOS (Integrated Carbon Observation System) atmospheric station Steinkimmen (STE) near Bremen, Germany. By means of two flights downwind of the ExxonMobil natural gas processing facility in Großenkneten about 40km east of Bremen, Germany, we demonstrate how the measurements of elevated CO<sub>2</sub> concentrations can be used to infer mass fluxes of atmospheric CO<sub>2</sub> related to the emissions of the facility.</p>

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