Model Predictive Control of a Hybrid VA v for Parcel Delivery Applications

Turan Konyalioglu, Sinan Alnipak, Erdinc Altug*

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

3 Atıf (Scopus)

Özet

Within the last decade, e-commerce has increased at an extraordinary level. The widespread use of Unmanned Aerial Vehicles (VAVs) in the logistics sector can reduce traffic density, improve delivery time, and can provide contactless delivery. This work proposes a new hybrid VAV, that combines the benefits of vertical take-off and land vehicle and a fixed-wing aircraft. It can carry multiple packages, which can decent automatically towards the recipients. This approach eliminates time-consuming landing maneuvers of the VA V for delivery. This work focuses on the design of the vehicle, and the challenges of the transitions from VTOL to aircraft modes and vice versa with a Model Predictive Controller.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıAIRPHARO 2021 - 1st AIRPHARO Workshop on Aerial Robotic Systems Physically Interacting with the Environment
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781665433891
DOI'lar
Yayın durumuYayınlandı - Eki 2021
Etkinlik1st AIRPHARO Workshop on Aerial Robotic Systems Physically Interacting with the Environment, AIRPHARO 2021 - Biograd na Moru, Croatia
Süre: 4 Eki 20215 Eki 2021

Yayın serisi

AdıAIRPHARO 2021 - 1st AIRPHARO Workshop on Aerial Robotic Systems Physically Interacting with the Environment

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

???event.eventtypes.event.conference???1st AIRPHARO Workshop on Aerial Robotic Systems Physically Interacting with the Environment, AIRPHARO 2021
Ülke/BölgeCroatia
ŞehirBiograd na Moru
Periyot4/10/215/10/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

Finansman

VI. ACKNOWLEDGEMENTS We would like to thank The Scientific and Technological Research Council of Turkey (TÜBİTAK) for funding project 120E182.

FinansörlerFinansör numarası
TÜBİTAK120E182
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Parmak izi

    Model Predictive Control of a Hybrid VA v for Parcel Delivery Applications' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

    Alıntı Yap