DocumentCode :
2588929
Title :
Real time sensor acquisition platform for experimental UAV research
Author :
Rodriguez, A.L. ; Parrilla, L.M. ; Simón-Muela, A. ; Prats, M.M. ; Querejeta, C. ; De Blanes, F. Garcia
Author_Institution :
Electron. Eng. Dept., Univ. of Seville, Seville, Spain
fYear :
2009
fDate :
23-29 Oct. 2009
Abstract :
In this paper, the design and development of an experimental data acquisition platform is presented. This platform is aimed at testing the performance of a set of sensors and their integration in order to assess its potential use in advanced UAV applications. The main function of such a platform is to collect the inflight raw data with the appropriate Quality of Service necessary to feed filtering algorithms which accurately define the state vector of the UAV required by advanced Flight Control Systems. Aiming at such purpose, a set of high performance low-cost sensors have been integrated in the platform, providing information on UAV´s acceleration, angular rates, geometric and pressure altitudes, airspeed, angle of attack and sideslip, GPS position, altitude groundspeed and raw data, earth´s magnetic field vector, and outside air temperature. Special focus has been put to provide an accurate and synchronized timestamp to all measurements. Furthermore, data can be monitored in real-time by a custom Labview application, or stored in a flash memory for later offline post-processing. The data acquisition platform developed is flexible and scalable, providing capability to implement complex data filtering algorithms and even basic flight control systems.
Keywords :
aircraft; aircraft instrumentation; computerised instrumentation; data acquisition; filtering theory; mobile robots; remotely operated vehicles; Labview; UAV; advanced flight control systems; data acquisition platform; data filtering algorithms; quality of service; real time sensor acquisition platform; state vector; Aerospace control; Data acquisition; Feeds; Filtering algorithms; Magnetic field measurement; Magnetic sensors; Quality of service; Temperature sensors; Testing; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference, 2009. DASC '09. IEEE/AIAA 28th
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-4078-8
Type :
conf
DOI :
10.1109/DASC.2009.5347461
Filename :
5347461
Link To Document :
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