Intelligent Flight Trajectory Generation to Maximize Safe Outcome Probability After a Distress Event

Sarigul‐Klijn, Nesrin; Rapetti, Ryan; Jordan, Albert; Lopez, Israel; Sarigul-Klijn, Marti; Nespeca, Pascal

doi:10.2514/6.2009-2020

Cited by 5 publications

(7 citation statements)

References 7 publications

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“…1 The governing equations are derived using the models chosen. Starting with the definition of the nominal safety…”

Section: Probability Of P 1 Phase Safetymentioning

confidence: 99%

“…[1][2][3][4][5][6][7][8][9][10][11][12][13][14] These four algorithms are: (a) low-fidelity initial turn algorithm; (b) high-fidelity paths with aborts; (c) guidance of a perpetual turning attitude aircraft to maneuvre to land safely, and (d) decision making. DART-MSOP is based on integration of four new algorithms developed that maximizes safe outcome probability after a distress event by incorporating an abort airport together with a model of current aircraft dynamics.…”

Section: Introductionmentioning

confidence: 99%

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Novel probabilistic dynamic safety metric formulations for flight path determination

Sarigul‐Klijn

White

2012

Proceedings of the Institution of Mechanical Engineers, Part G:

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This article details a novel method for the determination of safe flight paths dynamically following an in-flight distress event. The method is based on probabilistic safety metrics which also include the touchdown and evacuation/rescue phases after landing. Two case studies simulating in-flight distress events, one from the west and the other from the east coast are presented using these formulations for a quantitative analysis. It is found that the nearest landing sites are not always the safest ones showing the benefits of the newly developed safety metrics. Finally, the path safety levels are plotted as a function of mission safety probability values using innovative polar plots that provide useful information to pilots.

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“…1 The governing equations are derived using the models chosen. Starting with the definition of the nominal safety…”

Section: Probability Of P 1 Phase Safetymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel probabilistic dynamic safety metric formulations for flight path determination

Sarigul‐Klijn

White

2012

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…The 3-D path representation algorithm uses a unique matrix representation that dispenses with trigonometric functions for most of the computations, improving computational speed [2].…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…1 978-1-4244-3888-4/10/$25.00 ©2010 IEEE. 2 Flight plans are defined as waypoints and connecting segments with feasible trim states. Landing sites are selected after determination of the aircraft's reachable footprint and are ranked according to numerous features including runway width/length and current wind/weather conditions.…”

Section: Introductionmentioning

confidence: 99%

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A 3-phase safe trajectory shaping for a distressed aircraft

Rapetti¹,

Sarigul‐Klijn²

2010

2010 IEEE Aerospace Conference

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A statistical flight plan optimization framework is developed, and a simplified version solved for a hypothetical distress situation. The framework proposed herein attempts to increase overall survivability by evaluating and optimizing the probable outcome of various flight plans, given a statistical representation of the probable outcomes of each flight plan and their respective probabilities of success. This work attempts to solve the problem using a simplified probability model and safety metric. An airport grouping strategy that groups the airports prior to path derivation is also developed to identify the convex sub problems of the non convex, continuousdiscrete overall problem. The performance of this newly developed probabilistic trajectory algorithm is evaluated using numerical simulations which include variable failure rates to simulate different in-flight distress conditions, and multiple turns to accommodate realistic trajectories. The results show that it is possible to increase aircraft survivability by using this algorithm 1 2

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Dynamic programming for trajectory optimization of engine-out transportation aircraft

Cho

Bouadi

et al. 2012

2012 24th Chinese Control and Decision Conference (CCDC)

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International audienceThe purpose of this communication is to contribute to the development of a new trajectory management capability for an engine-out transportation aircraft. Engine-out is a dramatic situation for flight safety and this study focuses on the design of a management system for emergency trajectories at this special situation. First the gliding characteristics and flying qualities of a transport aircraft with total engine failure are analyzed while gliding range estimation is considered. Then a new representation of the flight dynamics of an engine-out aircraft is proposed where the space variable is chosen as independent parameter instead of the time variable. This allows to propose a new formulation of the corresponding trajectory optimization problem and to develop a reverse dynamic programming solution technique. Simulation results are displayed and new development perspectives are discussed

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Intelligent Flight Trajectory Generation to Maximize Safe Outcome Probability After a Distress Event

Cited by 5 publications

References 7 publications

Novel probabilistic dynamic safety metric formulations for flight path determination

Novel probabilistic dynamic safety metric formulations for flight path determination

A 3-phase safe trajectory shaping for a distressed aircraft

Dynamic programming for trajectory optimization of engine-out transportation aircraft

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