Performance evaluation of RW-Quadrotor and Bi-Quadrotor for payload delivery

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10253114" target="_blank" >RIV/61989100:27240/23:10253114 - isvavai.cz</a>

Result on the web

<a href="https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.12403" target="_blank" >https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/itr2.12403</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1049/itr2.12403" target="_blank" >10.1049/itr2.12403</a>

Result language

angličtina

Original language name

Performance evaluation of RW-Quadrotor and Bi-Quadrotor for payload delivery

Original language description

Payload delivery is one of the many Unmanned Aerial Vehicle (UAV) applications that save time, energy, and human resources. The present simulation study compares rotary-wing quadrotors (RW-Quadrotors) and tail-sitter biplane quadrotors (Bi-Quadrotors) under payload delivery conditions that help to choose the best UAV for the particular mission. A comparative study is performed based on (i) time taken to accomplish the given mission, (ii) trajectory tracking performance, (iii) motor speed throughout the entire flight envelope, and (iv) remains SoC (State of Charge) after the mission. Furthermore, a Backstepping Controller (BSC) and an Adaptive Backstepping Controller (ABSC) are developed for both UAVs to handle mass changes during flight while Genetic Algorithm (GA) is used for the gain optimization. MATLAB Simulink-based numerical simulation reveals that the Bi-Quadrotor has a lower average rotor speed than the RW-Quadrotor. However, the Bi-Quadrotor&apos;s SoC after the mission is higher than the RW-Quadrotor, and it took less time to accomplish the mission. The ABSC designed for RW-Quadrotor and Bi-Quadrotor effectively handles mass change during the mission. However, the BSC controller increases energy consumption for the Bi-Quadrotor in the presence of wind gusts.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20204 - Robotics and automatic control

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IET Intelligent Transport Systems

ISSN

1751-956X

e-ISSN

1751-9578

Volume of the periodical

Neuveden

Issue of the periodical within the volume

08

Country of publishing house

US - UNITED STATES

Number of pages

16

Pages from-to

1-16

UT code for WoS article

001043119100001

EID of the result in the Scopus database

2-s2.0-85166967761