dc.contributor.author | Dalwadi, Nihal | |
dc.contributor.author | Deb, Dipankar | |
dc.contributor.author | Ožana, Štěpán | |
dc.date.accessioned | 2024-03-08T08:24:59Z | |
dc.date.available | 2024-03-08T08:24:59Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | IET Intelligent Transport Systems. 2023, vol. 17, issue 11, p. 2221-2236. | cs |
dc.identifier.issn | 1751-956X | |
dc.identifier.issn | 1751-9578 | |
dc.identifier.uri | http://hdl.handle.net/10084/152303 | |
dc.description.abstract | 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 pay load 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 mis sion, (ii) trajectory tracking performance, (iii) motor speed throughout the entire flight
envelope, and (iv) remains SoC (State of Charge) after the mission. Furthermore, a Back stepping 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’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. | cs |
dc.language.iso | en | cs |
dc.publisher | Wiley | cs |
dc.relation.ispartofseries | IET Intelligent Transport Systems | cs |
dc.relation.uri | https://doi.org/10.1049/itr2.12403 | cs |
dc.rights | © 2023 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. | cs |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
dc.subject | control engineering computing | cs |
dc.subject | intelligent sensors | cs |
dc.subject | Internet of Things | cs |
dc.subject | path planning | cs |
dc.title | Performance evaluation of RW-Quadrotor and Bi-Quadrotor for payload delivery | cs |
dc.type | article | cs |
dc.identifier.doi | 10.1049/itr2.12403 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 17 | cs |
dc.description.issue | 11 | cs |
dc.description.lastpage | 2236 | cs |
dc.description.firstpage | 2221 | cs |
dc.identifier.wos | 001043119100001 | |