Multidisciplinary design and flight testing of a remote gas/particle airborne sensor system
Data(s) |
23/09/2012
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Resumo |
The main objective of this paper is to describe the development of a remote sensing airborne air sampling system for Unmanned Aerial Systems (UAS) and provide the capability for the detection of particle and gas concentrations in real time over remote locations. The design of the air sampling methodology started by defining system architecture, and then by selecting and integrating each subsystem. A multifunctional air sampling instrument, with capability for simultaneous measurement of particle and gas concentrations was modified and integrated with ARCAA’s Flamingo UAS platform and communications protocols. As result of the integration process, a system capable of both real time geo-location monitoring and indexed-link sampling was obtained. Wind tunnel tests were conducted in order to evaluate the performance of the air sampling instrument in controlled nonstationary conditions at the typical operational velocities of the UAS platform. Once the remote fully operative air sampling system was obtained, the problem of mission design was analyzed through the simulation of different scenarios. Furthermore, flight tests of the complete air sampling system were then conducted to check the dynamic characteristics of the UAS with the air sampling system and to prove its capability to perform an air sampling mission following a specific flight path. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/59106/1/660.pdf Gonzalez, Luis Felipe, Castro, Marcos P.G., & Tamagnone, Francesco Francesco (2012) Multidisciplinary design and flight testing of a remote gas/particle airborne sensor system. In Proceedings of the 28th International Congress of the Aeronautical Sciences, Optimage Ltd., Brisbane Convention & Exhibition Centre, Brisbane, QLD, pp. 1-13, Brisbane Convention & Exhibition Centre, Brisbane, QLD. |
Direitos |
Copyright 2012 [please consult the author] |
Fonte |
Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty |
Palavras-Chave | #050204 Environmental Impact Assessment #050206 Environmental Monitoring #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #080300 COMPUTER SOFTWARE #090106 Flight Dynamics #Unmanned Aerial Vehicles #gas #sensing #UAV #flying robots #multidisciplinary #aerospace #airborne sensor #partice #environmental monitoring |
Tipo |
Conference Paper |