Loss-of-Control prediction and prevention for NASA's transport class model

June Chongvisal, Nikolas Tekles, Enric Xargay, Donald A. Talleur, Alex Kirlik, Naira Hovakimyan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In an effort to improve the overall safety of the current and future air transportation system, researchers have been investigating the causes and series of events that can potentially lead to aircraft loss of control (LoC) as well as methods to prevent the occurrence of such events. Motivated by this challenging problem, this paper presents preliminary work on the development of technologies for in-flight LoC prediction and prevention. The developed scheme is based on a quantitative approach for LoC characterization introduced by the Boeing Company and NASA Langley Research Center, and is designed to arrest the development of an LoC sequence through an integrated LoC prediction and prevention control system. The paper also presents initial piloted simulations that analyze the ability of the developed system to assist the pilot in flying the aircraft through adverse environmental conditions, and to preserve safe aircraft operation by preventing erroneous crew input that could potentially lead to an LoC situation.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference
DOIs
StatePublished - Feb 28 2014
EventAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014 - National Harbor, MD, United States
Duration: Jan 13 2014Jan 17 2014

Publication series

NameAIAA Guidance, Navigation, and Control Conference

Other

OtherAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014
CountryUnited States
CityNational Harbor, MD
Period1/13/141/17/14

Fingerprint

NASA
Aircraft
Control systems
Industry

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering

Cite this

Chongvisal, J., Tekles, N., Xargay, E., Talleur, D. A., Kirlik, A., & Hovakimyan, N. (2014). Loss-of-Control prediction and prevention for NASA's transport class model. In AIAA Guidance, Navigation, and Control Conference (AIAA Guidance, Navigation, and Control Conference). https://doi.org/10.2514/6.2014-0784

Loss-of-Control prediction and prevention for NASA's transport class model. / Chongvisal, June; Tekles, Nikolas; Xargay, Enric; Talleur, Donald A.; Kirlik, Alex; Hovakimyan, Naira.

AIAA Guidance, Navigation, and Control Conference. 2014. (AIAA Guidance, Navigation, and Control Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chongvisal, J, Tekles, N, Xargay, E, Talleur, DA, Kirlik, A & Hovakimyan, N 2014, Loss-of-Control prediction and prevention for NASA's transport class model. in AIAA Guidance, Navigation, and Control Conference. AIAA Guidance, Navigation, and Control Conference, AIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014, National Harbor, MD, United States, 1/13/14. https://doi.org/10.2514/6.2014-0784
Chongvisal J, Tekles N, Xargay E, Talleur DA, Kirlik A, Hovakimyan N. Loss-of-Control prediction and prevention for NASA's transport class model. In AIAA Guidance, Navigation, and Control Conference. 2014. (AIAA Guidance, Navigation, and Control Conference). https://doi.org/10.2514/6.2014-0784
Chongvisal, June ; Tekles, Nikolas ; Xargay, Enric ; Talleur, Donald A. ; Kirlik, Alex ; Hovakimyan, Naira. / Loss-of-Control prediction and prevention for NASA's transport class model. AIAA Guidance, Navigation, and Control Conference. 2014. (AIAA Guidance, Navigation, and Control Conference).
@inproceedings{dc27fe0b1a3c4f68b82c60b8d86e3c40,
title = "Loss-of-Control prediction and prevention for NASA's transport class model",
abstract = "In an effort to improve the overall safety of the current and future air transportation system, researchers have been investigating the causes and series of events that can potentially lead to aircraft loss of control (LoC) as well as methods to prevent the occurrence of such events. Motivated by this challenging problem, this paper presents preliminary work on the development of technologies for in-flight LoC prediction and prevention. The developed scheme is based on a quantitative approach for LoC characterization introduced by the Boeing Company and NASA Langley Research Center, and is designed to arrest the development of an LoC sequence through an integrated LoC prediction and prevention control system. The paper also presents initial piloted simulations that analyze the ability of the developed system to assist the pilot in flying the aircraft through adverse environmental conditions, and to preserve safe aircraft operation by preventing erroneous crew input that could potentially lead to an LoC situation.",
author = "June Chongvisal and Nikolas Tekles and Enric Xargay and Talleur, {Donald A.} and Alex Kirlik and Naira Hovakimyan",
year = "2014",
month = "2",
day = "28",
doi = "10.2514/6.2014-0784",
language = "English (US)",
isbn = "9781600869624",
series = "AIAA Guidance, Navigation, and Control Conference",
booktitle = "AIAA Guidance, Navigation, and Control Conference",

}

TY - GEN

T1 - Loss-of-Control prediction and prevention for NASA's transport class model

AU - Chongvisal, June

AU - Tekles, Nikolas

AU - Xargay, Enric

AU - Talleur, Donald A.

AU - Kirlik, Alex

AU - Hovakimyan, Naira

PY - 2014/2/28

Y1 - 2014/2/28

N2 - In an effort to improve the overall safety of the current and future air transportation system, researchers have been investigating the causes and series of events that can potentially lead to aircraft loss of control (LoC) as well as methods to prevent the occurrence of such events. Motivated by this challenging problem, this paper presents preliminary work on the development of technologies for in-flight LoC prediction and prevention. The developed scheme is based on a quantitative approach for LoC characterization introduced by the Boeing Company and NASA Langley Research Center, and is designed to arrest the development of an LoC sequence through an integrated LoC prediction and prevention control system. The paper also presents initial piloted simulations that analyze the ability of the developed system to assist the pilot in flying the aircraft through adverse environmental conditions, and to preserve safe aircraft operation by preventing erroneous crew input that could potentially lead to an LoC situation.

AB - In an effort to improve the overall safety of the current and future air transportation system, researchers have been investigating the causes and series of events that can potentially lead to aircraft loss of control (LoC) as well as methods to prevent the occurrence of such events. Motivated by this challenging problem, this paper presents preliminary work on the development of technologies for in-flight LoC prediction and prevention. The developed scheme is based on a quantitative approach for LoC characterization introduced by the Boeing Company and NASA Langley Research Center, and is designed to arrest the development of an LoC sequence through an integrated LoC prediction and prevention control system. The paper also presents initial piloted simulations that analyze the ability of the developed system to assist the pilot in flying the aircraft through adverse environmental conditions, and to preserve safe aircraft operation by preventing erroneous crew input that could potentially lead to an LoC situation.

UR - http://www.scopus.com/inward/record.url?scp=84894476697&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84894476697&partnerID=8YFLogxK

U2 - 10.2514/6.2014-0784

DO - 10.2514/6.2014-0784

M3 - Conference contribution

AN - SCOPUS:84894476697

SN - 9781600869624

T3 - AIAA Guidance, Navigation, and Control Conference

BT - AIAA Guidance, Navigation, and Control Conference

ER -