DocumentCode :
2533981
Title :
A comparative study of Interval Management control law capabilities
Author :
Barmore, B.E. ; Smith, Colin ; Palmer, S.O. ; Abbott, T.S. ; Hamilton, Booz Allen
Author_Institution :
NASA Langley Res. Center, Hampton, VA, USA
fYear :
2012
fDate :
14-18 Oct. 2012
Abstract :
This paper presents a new tool designed to allow for rapid development and testing of different control algorithms for airborne spacing. This tool, Interval Management Modeling and Spacing Tool (IM MAST), is a fast-time, low-fidelity tool created to model the approach of aircraft to a runway, with a focus on their interactions with each other. Errors can be induced between pairs of aircraft by varying initial positions, winds, speed profiles, and altitude profiles. Results to-date show that only a few of the algorithms tested had poor behavior in the arrival and approach environment. The majority of the algorithms showed only minimal variation in performance under the test conditions. Trajectory-based algorithms showed high susceptibility to wind forecast errors, while performing marginally better than the other algorithms under other conditions. Trajectory-based algorithms have a sizable advantage, however, of being able to perform relative spacing operations between aircraft on different arrival routes and flight profiles without employing `ghosting´ methods. This comes at the higher cost of substantially increased complexity, however. Additionally, it was shown that earlier initiation of relative spacing operations provided more time for corrections to be made without any significant problems in the spacing operation itself. Initiating spacing farther out, however, would require more of the aircraft to begin spacing before they merge onto a common route.
Keywords :
air traffic control; IM MAST; Interval Management Modeling and Spacing Tool; airborne spacing; altitude profiles; approach environment; arrival environment; arrival routes; control algorithms; fast-time low-fidelity tool; flight profiles; ghosting methods; interval management control law capabilities; relative spacing operations; speed profiles; trajectory-based algorithms; wind forecast errors; Aircraft; Algorithm design and analysis; Atmospheric modeling; History; Prediction algorithms; Trajectory; Wind forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2012 IEEE/AIAA 31st
Conference_Location :
Williamsburg, VA
ISSN :
2155-7195
Print_ISBN :
978-1-4673-1699-6
Type :
conf
DOI :
10.1109/DASC.2012.6382302
Filename :
6382302
Link To Document :
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