Journal of the Korean Society for Aeronautical & Space Sciences (한국항공우주학회지)

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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Real-time Aircraft Upset Detection and Prevention Based On Extended Kalman Filter

확장칼만필터를 이용한 항공기 비정상 비행상황 판단 및 방지를 위한 실시간 대처법 연구

  • 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)
  • Received : 2016.09.13
  • Accepted : 2017.08.29
  • Published : 2017.09.01
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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.

비정상 비행(Upset) 상황으로 인한 항공기 사고는 유인항공기와 무인항공기 모두에 치명적인 피해를 발생시킨다. 본 논문은 항공기의 비정상 비행상황에 대한 실시간 대처와 추가적인 위험상황을 방지하기 위한 기법을 연구한다. 먼저 확장칼만필터(Extended Kalman Filter) 방법을 이용해 얻게 되는 예측값과 센서를 통해 실제로 얻게 되는 측정값 사이의 차이를 모니터링하여 현재 항공기의 비정상 비행 진입 여부를 판단한다. 또한, 확장칼만필터의 시간 업데이트를 반복 연산하여 얻은 수 초 후의 예측값을 통해 항공기의 상태가 비정상 비행상황으로 진입할 것인지를 예측하여 사전에 판단할 수 있게 된다. 본 연구결과는 차세대 유무인 항공기의 비정상 비행 상태 진입 방지 시스템 구축을 위한 가교 역할을 할 것으로 사료된다.

Keywords

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