Title :
Aircraft model-independent airspeed estimation without pitot tube measurements
Author :
Rhudy, Matthew B. ; Fravolini, Mario L. ; Yu Gu ; Napolitano, Marcello R. ; Gururajan, Srikanth ; Chao, Haiyang
Author_Institution :
Pennsylvania State Univ., Reading, PA, USA
fDate :
7/1/2015 12:00:00 AM
Abstract :
This paper presents a novel analytical redundancy approach for pitot tube failure accommodation using nonlinear Kalman filtering. This approach utilizes information from other sensors that are commonly implemented on aircraft in order to obtain an estimate of the airspeed which is independent from the pitot tube(s). This method was demonstrated to be independent of the aircraft model by providing experimental estimation results from two different unmanned aerial vehicle (UAV) research platforms.
Keywords :
Kalman filters; aircraft; autonomous aerial vehicles; nonlinear filters; sensors; velocity measurement; UAV research platform; aircraft model-independent airspeed estimation; nonlinear Kalman filtering; pitot tube measurement; sensor; unmanned aerial vehicle research platform; Aircraft; Atmospheric modeling; Electron tubes; Estimation; Mathematical model; Noise; Sensors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2015.130631
