Energy efficient path-planning for unmanned aerial vehicle
This project develops an efficient path-planning algorithm for an unmanned aerial vehicle (UAV) in obstacle-rich environments considering minimum energy consumption. UAV is increasingly being used to replace humans in performing risky missions in adverse environments. UAV normally gets its energy fr...
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| Format: | Thesis |
| Language: | English English English |
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2022
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| Online Access: | http://eprints.uthm.edu.my/8484/1/24p%20SANJOY%20KUMAR%20DEBNATH.pdf http://eprints.uthm.edu.my/8484/2/SANJOY%20KUMAR%20DEBNATH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8484/3/SANJOY%20KUMAR%20DEBNATH%20WATERMARK.pdf |
| _version_ | 1796869773897760768 |
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| author | Debnath, Sanjoy Kumar |
| author_facet | Debnath, Sanjoy Kumar |
| author_sort | Debnath, Sanjoy Kumar |
| collection | UTHM |
| description | This project develops an efficient path-planning algorithm for an unmanned aerial vehicle (UAV) in obstacle-rich environments considering minimum energy consumption. UAV is increasingly being used to replace humans in performing risky missions in adverse environments. UAV normally gets its energy from solar, hydrogen cell or li-ion batteries. However, these energy sources have limitations; for example, in a cloudy day, solar power might not be fully generated. This may result in the UAV to fail in accomplishing a given mission if its path is longer than necessary. Therefore, it is vital for the UAV to have a minimal path length which leads to the least energy consumption. The proposed path planning algorithm is called Iterative Elliptical- Convex Visibility Graph (IECoVG) which is based on visibility graph (VG) and Dijkstra’s algorithm. IECoVG limits the size of the search space which will in turn reduce the number of obstacles for path planning. Performance comparison through simulation in terms of computational time and path length between IECoVG andconventional VG as well as the Iterative Equilateral Space Oriented VG (IESOVG)has been executed. Identical scenarios have been applied in order to have a fair and conclusive result. The simulation shows that IECoVG improves the computation time up to 86 % due to its efficiency in selecting the search space. To further enhance IECoVG, flight cost, segment length, heading angle change and the UAV’s speed have also been considered as they proportionally affect the energy consumption of the UAV. The enhanced IECoVG named IECoVG+ can improve the energy consumption of the UAV by 10.42 %. |
| first_indexed | 2024-03-05T21:59:47Z |
| format | Thesis |
| id | uthm.eprints-8484 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English English English |
| last_indexed | 2024-03-05T21:59:47Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | uthm.eprints-84842023-04-02T00:52:13Z http://eprints.uthm.edu.my/8484/ Energy efficient path-planning for unmanned aerial vehicle Debnath, Sanjoy Kumar TL Motor vehicles. Aeronautics. Astronautics This project develops an efficient path-planning algorithm for an unmanned aerial vehicle (UAV) in obstacle-rich environments considering minimum energy consumption. UAV is increasingly being used to replace humans in performing risky missions in adverse environments. UAV normally gets its energy from solar, hydrogen cell or li-ion batteries. However, these energy sources have limitations; for example, in a cloudy day, solar power might not be fully generated. This may result in the UAV to fail in accomplishing a given mission if its path is longer than necessary. Therefore, it is vital for the UAV to have a minimal path length which leads to the least energy consumption. The proposed path planning algorithm is called Iterative Elliptical- Convex Visibility Graph (IECoVG) which is based on visibility graph (VG) and Dijkstra’s algorithm. IECoVG limits the size of the search space which will in turn reduce the number of obstacles for path planning. Performance comparison through simulation in terms of computational time and path length between IECoVG andconventional VG as well as the Iterative Equilateral Space Oriented VG (IESOVG)has been executed. Identical scenarios have been applied in order to have a fair and conclusive result. The simulation shows that IECoVG improves the computation time up to 86 % due to its efficiency in selecting the search space. To further enhance IECoVG, flight cost, segment length, heading angle change and the UAV’s speed have also been considered as they proportionally affect the energy consumption of the UAV. The enhanced IECoVG named IECoVG+ can improve the energy consumption of the UAV by 10.42 %. 2022-04 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/8484/1/24p%20SANJOY%20KUMAR%20DEBNATH.pdf text en http://eprints.uthm.edu.my/8484/2/SANJOY%20KUMAR%20DEBNATH%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/8484/3/SANJOY%20KUMAR%20DEBNATH%20WATERMARK.pdf Debnath, Sanjoy Kumar (2022) Energy efficient path-planning for unmanned aerial vehicle. Doctoral thesis, Universiti Tun Hussein Onn Malaysia. |
| spellingShingle | TL Motor vehicles. Aeronautics. Astronautics Debnath, Sanjoy Kumar Energy efficient path-planning for unmanned aerial vehicle |
| title | Energy efficient path-planning for unmanned aerial vehicle |
| title_full | Energy efficient path-planning for unmanned aerial vehicle |
| title_fullStr | Energy efficient path-planning for unmanned aerial vehicle |
| title_full_unstemmed | Energy efficient path-planning for unmanned aerial vehicle |
| title_short | Energy efficient path-planning for unmanned aerial vehicle |
| title_sort | energy efficient path planning for unmanned aerial vehicle |
| topic | TL Motor vehicles. Aeronautics. Astronautics |
| url | http://eprints.uthm.edu.my/8484/1/24p%20SANJOY%20KUMAR%20DEBNATH.pdf http://eprints.uthm.edu.my/8484/2/SANJOY%20KUMAR%20DEBNATH%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8484/3/SANJOY%20KUMAR%20DEBNATH%20WATERMARK.pdf |
| work_keys_str_mv | AT debnathsanjoykumar energyefficientpathplanningforunmannedaerialvehicle |