On Flight Risk Analysis Method Based on Stability Region of Dynamic System Under Icing Conditions

The occurrence of loss of control in flight is often accompanied by deep coupling of flight parameters. In order to explore the mechanism of coupling induced flight risk, a method of flight risk assessment based on the stability region of a nonlinear dynamic system was proposed. The Monte Carlo meth...

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Main Authors: Zhe Li, Xiaocong Duan, Xiaogang Li, Shihao Wang, Yanyan Hou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9039666/
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spelling doaj-283be605c79c4da5a229d6b6db3743e02021-03-30T01:23:28ZengIEEEIEEE Access2169-35362020-01-018548335484210.1109/ACCESS.2020.29813759039666On Flight Risk Analysis Method Based on Stability Region of Dynamic System Under Icing ConditionsZhe Li0https://orcid.org/0000-0001-8495-2831Xiaocong Duan1Xiaogang Li2Shihao Wang3Yanyan Hou4College of Aeronautical Engineering, Air Force Engineering University, Xi’an, ChinaCollege of Aeronautical Engineering, Air Force Engineering University, Xi’an, ChinaCollege of Aeronautical Engineering, Air Force Engineering University, Xi’an, ChinaCollege of Aeronautical Engineering, Air Force Engineering University, Xi’an, ChinaCollege of Aeronautical Engineering, Air Force Engineering University, Xi’an, ChinaThe occurrence of loss of control in flight is often accompanied by deep coupling of flight parameters. In order to explore the mechanism of coupling induced flight risk, a method of flight risk assessment based on the stability region of a nonlinear dynamic system was proposed. The Monte Carlo method was improved to identify the boundary of the stability region, and the key parameters that can represent the flight safety were set. The risk quantification method and the colorized flight risk characterization method were proposed. Combined with the case of aircraft encountering icing, the variation trend of flight stability region and flight risk under different icing degrees was calculated. The results showed that with the aggravation of icing, the flight stability region was significantly reduced and the coupling of flight parameters was aggravated. And compared with the traditional angle of attack protection method, this method can find the potential flight risk earlier, and characterize the way of parameters' coupling and the flight risk evolution process. The proposed method can improve the pilot's situational awareness, and also provide theoretical support for the prevention of flight risk under adverse conditions, and provide reference for the further development of boundary protection control law.https://ieeexplore.ieee.org/document/9039666/Flight riskquantitative assessmentstability regionice encounteringrisk visualization
collection DOAJ
language English
format Article
sources DOAJ
author Zhe Li
Xiaocong Duan
Xiaogang Li
Shihao Wang
Yanyan Hou
spellingShingle Zhe Li
Xiaocong Duan
Xiaogang Li
Shihao Wang
Yanyan Hou
On Flight Risk Analysis Method Based on Stability Region of Dynamic System Under Icing Conditions
IEEE Access
Flight risk
quantitative assessment
stability region
ice encountering
risk visualization
author_facet Zhe Li
Xiaocong Duan
Xiaogang Li
Shihao Wang
Yanyan Hou
author_sort Zhe Li
title On Flight Risk Analysis Method Based on Stability Region of Dynamic System Under Icing Conditions
title_short On Flight Risk Analysis Method Based on Stability Region of Dynamic System Under Icing Conditions
title_full On Flight Risk Analysis Method Based on Stability Region of Dynamic System Under Icing Conditions
title_fullStr On Flight Risk Analysis Method Based on Stability Region of Dynamic System Under Icing Conditions
title_full_unstemmed On Flight Risk Analysis Method Based on Stability Region of Dynamic System Under Icing Conditions
title_sort on flight risk analysis method based on stability region of dynamic system under icing conditions
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description The occurrence of loss of control in flight is often accompanied by deep coupling of flight parameters. In order to explore the mechanism of coupling induced flight risk, a method of flight risk assessment based on the stability region of a nonlinear dynamic system was proposed. The Monte Carlo method was improved to identify the boundary of the stability region, and the key parameters that can represent the flight safety were set. The risk quantification method and the colorized flight risk characterization method were proposed. Combined with the case of aircraft encountering icing, the variation trend of flight stability region and flight risk under different icing degrees was calculated. The results showed that with the aggravation of icing, the flight stability region was significantly reduced and the coupling of flight parameters was aggravated. And compared with the traditional angle of attack protection method, this method can find the potential flight risk earlier, and characterize the way of parameters' coupling and the flight risk evolution process. The proposed method can improve the pilot's situational awareness, and also provide theoretical support for the prevention of flight risk under adverse conditions, and provide reference for the further development of boundary protection control law.
topic Flight risk
quantitative assessment
stability region
ice encountering
risk visualization
url https://ieeexplore.ieee.org/document/9039666/
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AT xiaogangli onflightriskanalysismethodbasedonstabilityregionofdynamicsystemundericingconditions
AT shihaowang onflightriskanalysismethodbasedonstabilityregionofdynamicsystemundericingconditions
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