Reliable Integration of Thermal Flow Sensors into Air Data Systems

F. A. B. Viana, Frank Sill Torres

In: 7th Brazilian Symposium on Computing System Engineering (SBESC 2018). Brazilian Symposium on Computing Systems Engineering (SBESC-2018) November 6-9 Salvador-Bahia Brazil 2018.


Having in mind its impact on the security of air flight applications, there is a high demand for robust and reliable airspeed measurement systems. Thermal flow sensors are a recent proposal in order to circumvent the critical limitations of classic airspeed sensors and have the potential to considerably enhance the security of future aircrafts. This paper is a step towards the application of these sensors and explores how existing state-ofthe-art reliability techniques can be applied for this new class of devices. Therefore, a detailed simulation model of a thermal flow sensors is setup in a redundant manner and widely applied voting mechanism are added to the system. Using extensive fault simulations, we explored the applicability of each mechanism for different fault classes and determined the most reliable solution. Results indicate that not the most complex but a more simpler method based on median estimation shows the highest robustness for this new kind of airspeed sensors.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence