Comparative analysis of straight and arbitrary unmanned aerial vehicle trajectory planning for corona effect detection on powerlines
department or school: Applied Science, Faculty of
department or school: Engineering, School of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Rahnama, Amirali
issued: 2024-10-24T16:31:21Z
issued: 2024
related degree: Master of Applied Science - MASc
degree grantor: University of British Columbia
description: The integration of Unmanned Aerial Vehicles (UAVs) in power line inspections significantly improves efficiency and safety compared to traditional methods. This thesis explores the comparison of UAV trajectories for detecting the corona effect, characterized by ultraviolet (UV) emissions due to high-voltage discharges, which indicate potential faults in power transmission systems. The study compares the effectiveness of straight and spiral UAV trajectories using advanced algorithms to determine the most efficient inspection paths. Simulations conducted in MATLAB reveal that straight trajectories offer an estimation error as low as 0.22%, demonstrating better accuracy and efficiency for large-scale inspections. In contrast, spiral trajectories, while providing detailed data for specific areas, exhibit higher estimation errors, up to 10.31%, and are more resource-intensive. This research uniquely incorporates a mobile receiver in UAV simulations, allowing a dynamic and realistic assessment of UAV performance. The findings contribute to enhancing the reliability and safety of power lines by comparing UAV trajectories for accurate fault detection, thereby improving maintenance protocols and helping to prevent power outages. This thesis provides significant insights into the practical applications of advanced UAV technology and trajectory planning in power line inspections.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/89498
note: Comparative Analysis of Straight and Arbitrary Unmanned Aerial Vehicle Trajectory Planning for Corona Effect Detection on Powerlines by Amirali Rahnama A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE in The College of Graduate Studies (Civil Engineering) THE UNIVERSITY OF BRITISH COLUMBIA (Okanagan) October 2024 © Amirali Rahnama, 2024 ii The following individuals certify that they have read, and recommend to the College of Graduate Studies for acceptance, a thesis entitled: Comparative Analysis of Straight and Arbitrary Unmanned Aerial Vehicle Trajectory Planning for Corona Effect Detection on Powerlines submitted by Amirali Rahnama in partial fulfillment of the requirements for the degree of Master of Applied Science Dr. Julian Cheng, School of Engineering Supervisor Dr. Jahangir Hossain, School of Engineering Supervisory Committee Member Dr. Liwei Wang, School of Engineering Supervisory Committee Member Dr. Xiaoping Shi, Irving K. Barber Faculty of Science University Examiner iii Abstract The integration of Unmanned Aerial Vehicles (UAVs) in power line inspections significantly improves efficiency and safety compared to traditional methods. This thesis explores the comparison of UAV trajectories for detecting the corona effect, characterized by ultraviolet (UV) emissions due to high-voltage discharges, which indicate potential faults in power transmission systems. The study compares the effectiveness of straight and spiral UAV trajectories using advanced algorithms to determine the most efficient inspection paths. Simulations conducted in MATLAB reveal that straight trajectories offer an estimation error as low as 0.22%, demonstrating better accuracy and efficiency for large-scale inspections. In contrast, spiral trajectories, while providing detailed data for specific areas, exhibit higher estimation errors, up to 10.31%, and are more resource-intensive. This research uniquely incorporates a mobile receiv…
has type: Thesis/Dissertation
date issued: 2025-02
is shown at: 10.14288/1.0447120
language: eng
degree discipline: Civil Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nd/4.0/
scholar level: Graduate
contributor: Cheng, Julian
type: Text
identifier URI: http://hdl.handle.net/2429/89498