Optimization of Speed Profile with RTA Constraints under Wind Uncertainty

Four-dimensional (4D) trajectory is considered to be one of the effective means to reduce the environmental impact of aviation while increasing capacity and safety. This paper proposes an approach to optimize cruise speed profile subject to wind uncertainty, aiming to reduce the fuel burn complying...

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Main Authors: Lisha Ye, Li Cao, Shuli Gong, Jiyun Lu
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/4803747
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spelling doaj-49bc5da87d554799aadc7ca965cb46cb2020-11-25T03:09:20ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/48037474803747Optimization of Speed Profile with RTA Constraints under Wind UncertaintyLisha Ye0Li Cao1Shuli Gong2Jiyun Lu3College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaFour-dimensional (4D) trajectory is considered to be one of the effective means to reduce the environmental impact of aviation while increasing capacity and safety. This paper proposes an approach to optimize cruise speed profile subject to wind uncertainty, aiming to reduce the fuel burn complying with the Required Time of Arrival (RTA) constraints. The approach is based on a probabilistic framework, and the uncertainty propagation is analyzed using a Probability Transformation Method, and the probability distributions of arrival time and fuel consumption are determined. In addition, from an airborne operation perspective, transition profiles need to be considered in the reference speed optimization problem, aiming to improve the rationale of the reference trajectory. Numerical simulations are presented, and the results demonstrate that the speed profiles optimized by this method are able to meet the RTA constraints in the presence of wind uncertainty, with an average reduction of 7.04% in fuel consumption compared with that of the flight data.http://dx.doi.org/10.1155/2020/4803747
collection DOAJ
language English
format Article
sources DOAJ
author Lisha Ye
Li Cao
Shuli Gong
Jiyun Lu
spellingShingle Lisha Ye
Li Cao
Shuli Gong
Jiyun Lu
Optimization of Speed Profile with RTA Constraints under Wind Uncertainty
Mathematical Problems in Engineering
author_facet Lisha Ye
Li Cao
Shuli Gong
Jiyun Lu
author_sort Lisha Ye
title Optimization of Speed Profile with RTA Constraints under Wind Uncertainty
title_short Optimization of Speed Profile with RTA Constraints under Wind Uncertainty
title_full Optimization of Speed Profile with RTA Constraints under Wind Uncertainty
title_fullStr Optimization of Speed Profile with RTA Constraints under Wind Uncertainty
title_full_unstemmed Optimization of Speed Profile with RTA Constraints under Wind Uncertainty
title_sort optimization of speed profile with rta constraints under wind uncertainty
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2020-01-01
description Four-dimensional (4D) trajectory is considered to be one of the effective means to reduce the environmental impact of aviation while increasing capacity and safety. This paper proposes an approach to optimize cruise speed profile subject to wind uncertainty, aiming to reduce the fuel burn complying with the Required Time of Arrival (RTA) constraints. The approach is based on a probabilistic framework, and the uncertainty propagation is analyzed using a Probability Transformation Method, and the probability distributions of arrival time and fuel consumption are determined. In addition, from an airborne operation perspective, transition profiles need to be considered in the reference speed optimization problem, aiming to improve the rationale of the reference trajectory. Numerical simulations are presented, and the results demonstrate that the speed profiles optimized by this method are able to meet the RTA constraints in the presence of wind uncertainty, with an average reduction of 7.04% in fuel consumption compared with that of the flight data.
url http://dx.doi.org/10.1155/2020/4803747
work_keys_str_mv AT lishaye optimizationofspeedprofilewithrtaconstraintsunderwinduncertainty
AT licao optimizationofspeedprofilewithrtaconstraintsunderwinduncertainty
AT shuligong optimizationofspeedprofilewithrtaconstraintsunderwinduncertainty
AT jiyunlu optimizationofspeedprofilewithrtaconstraintsunderwinduncertainty
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