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Trajectory Prediction and Alerting for Aircraft Mode and Energy State Awareness

Shish, Kimberlee and Kaneshige, John and Acosta, Diana and Schuet, Stefan and Lombaerts, Thomas and Martin, Lynne and Madhavan, Avinash (2015) Trajectory Prediction and Alerting for Aircraft Mode and Energy State Awareness. In: AIAA Infotech at Aerospace Conference (ISSN: 0731-5090). AIAA 2015 Infotech @ Aerospace, 5.-9. Jan. 2015, Kissimmee, FL, USA. DOI: 10.2514/6.2015-1113 ISSN 0731-5090

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Official URL: http://arc.aiaa.org/doi/pdf/10.2514/6.2015-1113

Abstract

This paper describes the implementation and evaluation of technologies that predict and assess the future aircraft energy state and autoflight configuration, and provide appropriate alerting to better inform pilots of the effect of problematic autoflight inputs or conditions. Prediction algorithms are used to extrapolate the current state of the aircraft based on flight management, autopilot and autothrottle system control laws and knowledge of mode transition logic. The resulting predicted trajectory represents the future four-dimensional flight path of the aircraft if the current course of action is continued. Probabilistic methods are used to estimate the trim envelope through high-fidelity model-based computation of attainable equilibrium sets. The corresponding maneuverability limitations of the aircraft are determined through a robust reachability analysis (relative to the trim envelope) through an optimal control formulation. The combination of prediction and assessment technologies are used to trigger timely alerts to avoid loss of control situations. The maneuvering envelope limits are also indicated on the primary flight display, and the predicted trajectory is displayed on navigation and vertical situation displays. The display features and alerts were evaluated in the Advanced Concepts Flight Simulator at NASA Ames Research Center, where commercial airline crews flew multiple problematic approach and landings scenarios to investigate the impact on current and future aircraft energy state awareness. Results show that the display features and alerts have the potential to improve situational awareness of what the automation is doing now and what it will do in the future.

Item URL in elib:https://elib.dlr.de/94738/
Document Type:Conference or Workshop Item (Speech)
Title:Trajectory Prediction and Alerting for Aircraft Mode and Energy State Awareness
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shish, KimberleeNASA Ames Research CenterUNSPECIFIED
Kaneshige, JohnNASA Ames Research CenterUNSPECIFIED
Acosta, DianaNASA Ames Research CenterUNSPECIFIED
Schuet, StefanNASA Ames Research CenterUNSPECIFIED
Lombaerts, Thomasthomas.lombaerts (at) dlr.deUNSPECIFIED
Martin, LynneSan Jose State UniversityUNSPECIFIED
Madhavan, AvinashUniversities Space Research AssociationUNSPECIFIED
Date:7 January 2015
Journal or Publication Title:AIAA Infotech at Aerospace Conference (ISSN: 0731-5090)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
DOI :10.2514/6.2015-1113
ISSN:0731-5090
Status:Published
Keywords:Simulatorversuchen, Flugbereichsgrenzen, Trajectorienvorspellungen, Systemwarnungen, Flugzeug Energie, Awareness
Event Title:AIAA 2015 Infotech @ Aerospace
Event Location:Kissimmee, FL, USA
Event Type:international Conference
Event Dates:5.-9. Jan. 2015
Organizer:American Institute of Aeronautics and Astronautics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems and Cabin
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Aircraft System Dynamics
Deposited By: Lombaerts, Dr Thomas
Deposited On:20 Jan 2015 13:29
Last Modified:09 Feb 2017 19:21

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