A pair of aerial UAV (quadcopter) performing tree pruning task

In this project, the simulation of a tree cutting task using two unmanned aerial vehicles (UAVs) was conducted. The UAVs, which were quadrotors with four rotors each, were used to hold and cut the tree in a simulated scenario. The kinematics and dynamics of the quadrotors were studied, and a mathema...

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Main Author: Wong, Jorge Guan Kai
Other Authors: Hu Guoqiang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167347
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1673472023-07-07T15:44:52Z A pair of aerial UAV (quadcopter) performing tree pruning task Wong, Jorge Guan Kai Hu Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering::Electrical and electronic engineering In this project, the simulation of a tree cutting task using two unmanned aerial vehicles (UAVs) was conducted. The UAVs, which were quadrotors with four rotors each, were used to hold and cut the tree in a simulated scenario. The kinematics and dynamics of the quadrotors were studied, and a mathematical model was developed to simulate the tree cutting task. The model was replicated for a second UAV with a different trajectory. The motion planning and control algorithms were carefully designed to ensure the safety and efficiency of the operation. In the simulation, the results indicated that the use of a pair of UAVs for tree pruning is feasible and highlighted the importance of proper motion planning and control. This project has potential applications in the forestry industry and can inform the development of practical UAV-based tree pruning systems. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-25T05:49:53Z 2023-05-25T05:49:53Z 2023 Final Year Project (FYP) Wong, J. G. K. (2023). A pair of aerial UAV (quadcopter) performing tree pruning task. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167347 https://hdl.handle.net/10356/167347 en P1031-212 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Wong, Jorge Guan Kai
A pair of aerial UAV (quadcopter) performing tree pruning task
description In this project, the simulation of a tree cutting task using two unmanned aerial vehicles (UAVs) was conducted. The UAVs, which were quadrotors with four rotors each, were used to hold and cut the tree in a simulated scenario. The kinematics and dynamics of the quadrotors were studied, and a mathematical model was developed to simulate the tree cutting task. The model was replicated for a second UAV with a different trajectory. The motion planning and control algorithms were carefully designed to ensure the safety and efficiency of the operation. In the simulation, the results indicated that the use of a pair of UAVs for tree pruning is feasible and highlighted the importance of proper motion planning and control. This project has potential applications in the forestry industry and can inform the development of practical UAV-based tree pruning systems.
author2 Hu Guoqiang
author_facet Hu Guoqiang
Wong, Jorge Guan Kai
format Final Year Project
author Wong, Jorge Guan Kai
author_sort Wong, Jorge Guan Kai
title A pair of aerial UAV (quadcopter) performing tree pruning task
title_short A pair of aerial UAV (quadcopter) performing tree pruning task
title_full A pair of aerial UAV (quadcopter) performing tree pruning task
title_fullStr A pair of aerial UAV (quadcopter) performing tree pruning task
title_full_unstemmed A pair of aerial UAV (quadcopter) performing tree pruning task
title_sort pair of aerial uav (quadcopter) performing tree pruning task
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167347
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