DocumentCode :
674138
Title :
Knowledge-based trajectory control for engine-out aircraft
Author :
Hongying Wu ; Mora-Camino, Felix
Author_Institution :
CAUC, Tianjin, China
fYear :
2013
fDate :
5-10 Oct. 2013
Abstract :
Aircraft total failure of engines or engine-out, is a dramatic situation which may end by a crash unless a flyable descent trajectory towards a safe landing place is adopted. Although it is now a rare event, there are many different reasons for engine-out. Since with engine-out any wrong decision taken by the pilot may lead to catastrophic consequences, it appears useful to develop an automatic emergency guidance mode for this situation. This new functionality could be integrated in a Flight Guidance System which should be able to select a proper landing site while proposing tactical decisions to fly a feasible trajectory towards this site. In this study, a proposal for the design of such guidance system is developed. First, considering space-indexed glide dynamics for a transportation aircraft, reverse dynamic programming is used to generate, starting from safe landing conditions, a full safe glide domain up to cruise conditions and composed of quasi steady trajectories. Then a neural network structure is designed to produce for any glide situation within the safe glide domain, a reference pitch angle proposed to the pilot in manual mode. Total energy is then considered to distinguish between over range, on range and out of range glide situations and provide directives for the use of air brakes when necessary. Finally, a tentative integration of the produced information within the primary flight display is proposed. Numerical simulations are performed using data from a wide body transportation aircraft.
Keywords :
aerospace computing; aerospace engines; air traffic control; dynamic programming; failure analysis; neural nets; numerical analysis; trajectory optimisation (aerospace); vehicle dynamics; air brakes; automatic emergency guidance mode; engine-out aircraft; flight display; flight guidance system; flyable descent trajectory; full safe glide domain; knowledge-based trajectory control; neural network structure; numerical simulations; quasisteady trajectory; reference pitch angle; reverse dynamic programming; space-indexed glide dynamics; transportation aircraft; wide body transportation aircraft; Aerodynamics; Aerospace control; Aircraft; Aircraft propulsion; Dynamic programming; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
Conference_Location :
East Syracuse, NY
ISSN :
2155-7195
Print_ISBN :
978-1-4799-1536-1
Type :
conf
DOI :
10.1109/DASC.2013.6712533
Filename :
6712533
Link To Document :
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