Optimal trajectory planning based on wind-optimal cost index

Ali Alizadeh; Mevlüt Uzun; Emre Koyuncu

doi:10.2514/6.2018-2880

Optimal trajectory planning based on wind-optimal cost index

Ali Alizadeh
, Mevlüt Uzun
, Emre Koyuncu

Uçak Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

3 Atıf (Scopus)

Özet

This work aims to develop a methodology based on wind-optimal cost index (CI) to be used in the trajectory optimization through optimal speed scheduling. Based on the accuracy of the weather forecast (wind data), the proposed method can be used for tactical and pre-departure flight planning as well as the real time speed optimization through Flight Management System (FMS). The precision of the optimal speed scheduling is proportional to the accuracy of the wind forecast. The impact of this method over a short flight is quantified to be 0.25% fuel saving compared to the wind-optimal trajectory, which shows the pure impact of wind-optimal CI. A detailed comparison between wind-optimal trajectories with fixed CI and the wind-optimal trajectory utilizing wind-optimal CI is done for a sample flight.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2018 Aviation Technology, Integration, and Operations Conference
Yayınlayan	American Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Basılı)	9781624105562
DOI'lar	https://doi.org/10.2514/6.2018-2880
Yayın durumu	Yayınlandı - 2018
Etkinlik	18th AIAA Aviation Technology, Integration, and Operations Conference, 2018 - Atlanta, United States Süre: 25 Haz 2018 → 29 Haz 2018

Yayın serisi

Adı	2018 Aviation Technology, Integration, and Operations Conference

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	18th AIAA Aviation Technology, Integration, and Operations Conference, 2018
Ülke/Bölge	United States
Şehir	Atlanta
Periyot	25/06/18 → 29/06/18

Bibliyografik not

Publisher Copyright:
© 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

Finansman

This research was supported by the Wind Error Estimation and Recovery project funded by The Boeing Company.

Finansörler
Boeing

Belgeye Erişim

10.2514/6.2018-2880

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@inproceedings{11aff4bf33954f6b9011830e6cbc7f91,

title = "Optimal trajectory planning based on wind-optimal cost index",

abstract = "This work aims to develop a methodology based on wind-optimal cost index (CI) to be used in the trajectory optimization through optimal speed scheduling. Based on the accuracy of the weather forecast (wind data), the proposed method can be used for tactical and pre-departure flight planning as well as the real time speed optimization through Flight Management System (FMS). The precision of the optimal speed scheduling is proportional to the accuracy of the wind forecast. The impact of this method over a short flight is quantified to be 0.25\% fuel saving compared to the wind-optimal trajectory, which shows the pure impact of wind-optimal CI. A detailed comparison between wind-optimal trajectories with fixed CI and the wind-optimal trajectory utilizing wind-optimal CI is done for a sample flight.",

author = "Ali Alizadeh and Mevl{\"u}t Uzun and Emre Koyuncu",

note = "Publisher Copyright: {\textcopyright} 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; 18th AIAA Aviation Technology, Integration, and Operations Conference, 2018 ; Conference date: 25-06-2018 Through 29-06-2018",

year = "2018",

doi = "10.2514/6.2018-2880",

language = "English",

isbn = "9781624105562",

series = "2018 Aviation Technology, Integration, and Operations Conference",

publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",

booktitle = "2018 Aviation Technology, Integration, and Operations Conference",

}

Alizadeh, A, Uzun, M & Koyuncu, E 2018, Optimal trajectory planning based on wind-optimal cost index. in 2018 Aviation Technology, Integration, and Operations Conference., AIAA 2018-2880, 2018 Aviation Technology, Integration, and Operations Conference, American Institute of Aeronautics and Astronautics Inc, AIAA, 18th AIAA Aviation Technology, Integration, and Operations Conference, 2018, Atlanta, United States, 25/06/18. https://doi.org/10.2514/6.2018-2880

Optimal trajectory planning based on wind-optimal cost index. / Alizadeh, Ali; Uzun, Mevlüt; Koyuncu, Emre.
2018 Aviation Technology, Integration, and Operations Conference. American Institute of Aeronautics and Astronautics Inc, AIAA, 2018. AIAA 2018-2880 (2018 Aviation Technology, Integration, and Operations Conference).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Optimal trajectory planning based on wind-optimal cost index

AU - Alizadeh, Ali

AU - Uzun, Mevlüt

AU - Koyuncu, Emre

PY - 2018

Y1 - 2018

N2 - This work aims to develop a methodology based on wind-optimal cost index (CI) to be used in the trajectory optimization through optimal speed scheduling. Based on the accuracy of the weather forecast (wind data), the proposed method can be used for tactical and pre-departure flight planning as well as the real time speed optimization through Flight Management System (FMS). The precision of the optimal speed scheduling is proportional to the accuracy of the wind forecast. The impact of this method over a short flight is quantified to be 0.25% fuel saving compared to the wind-optimal trajectory, which shows the pure impact of wind-optimal CI. A detailed comparison between wind-optimal trajectories with fixed CI and the wind-optimal trajectory utilizing wind-optimal CI is done for a sample flight.

AB - This work aims to develop a methodology based on wind-optimal cost index (CI) to be used in the trajectory optimization through optimal speed scheduling. Based on the accuracy of the weather forecast (wind data), the proposed method can be used for tactical and pre-departure flight planning as well as the real time speed optimization through Flight Management System (FMS). The precision of the optimal speed scheduling is proportional to the accuracy of the wind forecast. The impact of this method over a short flight is quantified to be 0.25% fuel saving compared to the wind-optimal trajectory, which shows the pure impact of wind-optimal CI. A detailed comparison between wind-optimal trajectories with fixed CI and the wind-optimal trajectory utilizing wind-optimal CI is done for a sample flight.

UR - https://www.scopus.com/pages/publications/85051659555

U2 - 10.2514/6.2018-2880

DO - 10.2514/6.2018-2880

M3 - Conference contribution

AN - SCOPUS:85051659555

SN - 9781624105562

T3 - 2018 Aviation Technology, Integration, and Operations Conference

BT - 2018 Aviation Technology, Integration, and Operations Conference

PB - American Institute of Aeronautics and Astronautics Inc, AIAA

T2 - 18th AIAA Aviation Technology, Integration, and Operations Conference, 2018

Y2 - 25 June 2018 through 29 June 2018

ER -

Optimal trajectory planning based on wind-optimal cost index

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap