Predictive ground collision avoidance system for the low-level terrain flight저고도 지형추종비행을 위한 예측형 지상 충돌 회피 시스템

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 566
  • Download : 0
Controlled Flight Into Terrain (CFIT) is reported as a major cause of today’s aircraft accidents. To mitigate these accidents, Predictive Ground Collision Avoidance System (PGCAS) has been used since the mid-70s. In PGCAS algorithm, however, relatively large safety margin for the terrain searching pattern could arise some drawbacks, such as nuisance alarms or unnecessary pull-up commands, during a tactical terrain-following or low-level terrain flight to evade enemy’s air defense network. In this paper, a modified algorithm based on weighted terrain searching pattern and performance diagram is proposed to improve PGCAS more efficiently on the modern tactical fly missions. At first, the weighted terrain searching pattern is set to reflect the aircraft’s performance and give more reasonable safety margin in the system. The terrain elevation data lying in the exterior of the terrain searching pattern are now set to give lower terrain elevation than the data in the interior. Secondly, performance diagram is used to generate reference flight trajectory, which gives terrain-neighboring as well as safe ensured flight path. Finally, the proposed algorithm is further analyzed through simulations to evaluate its performance.
Advisors
Bang, Hyochoongresearcher방효충researcher
Description
한국과학기술원 :항공우주공학과,
Publisher
한국과학기술원
Issue Date
2016
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 항공우주공학과, 2016.2 ,[iv, 40 p. :]

Keywords

Controlled Flight Into Terrain; Predictive Ground Collision Avoidance System; Digital Terrain Elevation Data; Data Binning; Data Hulling; Particle Swarm Optimization; 조종상태 지상충돌; 예측형 지상 충돌 회피 시스템; 디지털 지형 고도 데이터; 데이터 비닝; 데이터 헐링; 개체 군집 최적화

URI
http://hdl.handle.net/10203/222013
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=649744&flag=dissertation
Appears in Collection
AE-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0