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http://dx.doi.org/10.5139/JKSAS.2017.45.9.724

Real-time Aircraft Upset Detection and Prevention Based On Extended Kalman Filter  

Woo, Beomki (Agency for Defence Development)
Park, On (Department of Aerospace Engineering, Chungnam National University)
Kim, Seungkeun (Department of Aerospace Engineering, Chungnam National University)
Suk, Jinyoung (Department of Aerospace Engineering, Chungnam National University)
Kim, Youdan (Department of Mechanical and Aerospace Engineering, Seoul National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.45, no.9, 2017 , pp. 724-733 More about this Journal
Abstract
Accidents caused by upset condition leads to fatal damage to both manned and unmanned aircraft. This paper deals with real-time detection of these aircraft upset situations to prevent further severe situations. Firstly, the difference between sensor measurement and predicted measurement from Extended Kalman filter is monitored to determine whether a target aircraft goes into an upset condition or not. In addition, repeating the time update stage of the Extended Kalman filter for a specific length of time can enable future upset situation prediction. The results of aforementioned both the approaches will build a bridge to upset prevention for future generation of manned/unmanned aircraft.
Keywords
Extended Kalman Filter; Upset Detection; Upset Prevention; Backstepping Controller; Aircraft Upset; F-18 HARV;
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