A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment
Unmanned aerial systems (UAS) are increasingly used for delivery operations due to its high mobility, low cost and ease of deployment. However, most commercial UAS are battery powered with limited energy for flight and there are different dynamic factors that give rise to uncertainty, thus accurate...
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2022
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sg-ntu-dr.10356-1579092023-03-04T20:14:11Z A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment Ng, Hong Jing Low Kin Huat School of Mechanical and Aerospace Engineering MKHLOW@ntu.edu.sg Engineering::Aeronautical engineering Unmanned aerial systems (UAS) are increasingly used for delivery operations due to its high mobility, low cost and ease of deployment. However, most commercial UAS are battery powered with limited energy for flight and there are different dynamic factors that give rise to uncertainty, thus accurate energy consumption estimation is key to manage delivery operation. This project developed a data-driven approach to estimate energy consumption using the dynamic states of UAS, such as velocity, acceleration, wind and payload. The energy model was implemented based on existing models from literature review. The methodology was then extended to generalize the energy model for different multirotor UAS through outlining key steps for data preprocessing, model training, optimization and validation. Possible application of the energy model includes optimization of delivery routes and providing energy consumption information to drone operators and unmanned traffic management. Bachelor of Engineering (Aerospace Engineering) 2022-05-31T12:36:34Z 2022-05-31T12:36:34Z 2022 Final Year Project (FYP) Ng, H. J. (2022). A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157909 https://hdl.handle.net/10356/157909 en B327 application/pdf Nanyang Technological University |
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Engineering::Aeronautical engineering Ng, Hong Jing A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment |
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Unmanned aerial systems (UAS) are increasingly used for delivery operations due to its high mobility, low cost and ease of deployment. However, most commercial UAS are battery powered with limited energy for flight and there are different dynamic factors that give rise to uncertainty, thus accurate energy consumption estimation is key to manage delivery operation. This project developed a data-driven approach to estimate energy consumption using the dynamic states of UAS, such as velocity, acceleration, wind and payload. The energy model was implemented based on existing models from literature review. The methodology was then extended to generalize the energy model for different multirotor UAS through outlining key steps for data preprocessing, model training, optimization and validation. Possible application of the energy model includes optimization of delivery routes and providing energy consumption information to drone operators and unmanned traffic management. |
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Low Kin Huat |
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Low Kin Huat Ng, Hong Jing |
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Final Year Project |
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Ng, Hong Jing |
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Ng, Hong Jing |
title |
A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment |
title_short |
A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment |
title_full |
A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment |
title_fullStr |
A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment |
title_full_unstemmed |
A study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment |
title_sort |
study on multirotor aircraft energy consumption estimation towards delivery operations in the urban environment |
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Nanyang Technological University |
publishDate |
2022 |
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https://hdl.handle.net/10356/157909 |
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1759856101199708160 |