Zobrazit minimální záznam

dc.contributor.authorDalwadi, Nihal
dc.contributor.authorDeb, Dipankar
dc.contributor.authorOžana, Štěpán
dc.date.accessioned2024-03-08T08:24:59Z
dc.date.available2024-03-08T08:24:59Z
dc.date.issued2023
dc.identifier.citationIET Intelligent Transport Systems. 2023, vol. 17, issue 11, p. 2221-2236.cs
dc.identifier.issn1751-956X
dc.identifier.issn1751-9578
dc.identifier.urihttp://hdl.handle.net/10084/152303
dc.description.abstractPayload 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.isoencs
dc.publisherWileycs
dc.relation.ispartofseriesIET Intelligent Transport Systemscs
dc.relation.urihttps://doi.org/10.1049/itr2.12403cs
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.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectcontrol engineering computingcs
dc.subjectintelligent sensorscs
dc.subjectInternet of Thingscs
dc.subjectpath planningcs
dc.titlePerformance evaluation of RW-Quadrotor and Bi-Quadrotor for payload deliverycs
dc.typearticlecs
dc.identifier.doi10.1049/itr2.12403
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume17cs
dc.description.issue11cs
dc.description.lastpage2236cs
dc.description.firstpage2221cs
dc.identifier.wos001043119100001


Soubory tohoto záznamu

Tento záznam se objevuje v následujících kolekcích

Zobrazit minimální záznam

© 2023 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2023 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.