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Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification
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| Zeitschriftentitel: | Journal of Physics: Conference Series |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Journal of Physics: Conference Series, 1267, 2019, 1, S. 012011 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
IOP Publishing
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| Schlagwörter: |
| author_facet |
Zhang, Wei Ding, Qingqing Zeng, Chao Wang, Chao Zhang, Wei Ding, Qingqing Zeng, Chao Wang, Chao |
|---|---|
| author |
Zhang, Wei Ding, Qingqing Zeng, Chao Wang, Chao |
| spellingShingle |
Zhang, Wei Ding, Qingqing Zeng, Chao Wang, Chao Journal of Physics: Conference Series Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification General Physics and Astronomy |
| author_sort |
zhang, wei |
| spelling |
Zhang, Wei Ding, Qingqing Zeng, Chao Wang, Chao 1742-6588 1742-6596 IOP Publishing General Physics and Astronomy http://dx.doi.org/10.1088/1742-6596/1267/1/012011 <jats:title>Abstract</jats:title> <jats:p>The quad-rotor UAV (Unmanned aerial vehicle) has a wide application market for its simple structure, easy operation and strong adaptability. During the flight, the endurance of UAV is an important parameter for flight planning, and it is of great significance to master the endurance capability of UAV. The endurance of UAV is mainly decided by the remaining capacity of the battery and the future energy consumption which changes with flight conditions. In this paper, a Flight Condition-Energy Consumption Model is established by analysing a large number of flight data with machine learning method, and the effects of different regression algorithms are compared. The validity of the model is verified by the actual flight. The endurance of the aircraft can be estimated using this model with the given remaining capacity of the battery and the future flight tasks.</jats:p> Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification Journal of Physics: Conference Series |
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| title |
Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_unstemmed |
Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_full |
Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_fullStr |
Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_full_unstemmed |
Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_short |
Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_sort |
research on duration estimation of rotor uav based on flight condition-energy consumption identification |
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General Physics and Astronomy |
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http://dx.doi.org/10.1088/1742-6596/1267/1/012011 |
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2019 |
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012011 |
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<jats:title>Abstract</jats:title>
<jats:p>The quad-rotor UAV (Unmanned aerial vehicle) has a wide application market for its simple structure, easy operation and strong adaptability. During the flight, the endurance of UAV is an important parameter for flight planning, and it is of great significance to master the endurance capability of UAV. The endurance of UAV is mainly decided by the remaining capacity of the battery and the future energy consumption which changes with flight conditions. In this paper, a Flight Condition-Energy Consumption Model is established by analysing a large number of flight data with machine learning method, and the effects of different regression algorithms are compared. The validity of the model is verified by the actual flight. The endurance of the aircraft can be estimated using this model with the given remaining capacity of the battery and the future flight tasks.</jats:p> |
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| author | Zhang, Wei, Ding, Qingqing, Zeng, Chao, Wang, Chao |
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| description | <jats:title>Abstract</jats:title> <jats:p>The quad-rotor UAV (Unmanned aerial vehicle) has a wide application market for its simple structure, easy operation and strong adaptability. During the flight, the endurance of UAV is an important parameter for flight planning, and it is of great significance to master the endurance capability of UAV. The endurance of UAV is mainly decided by the remaining capacity of the battery and the future energy consumption which changes with flight conditions. In this paper, a Flight Condition-Energy Consumption Model is established by analysing a large number of flight data with machine learning method, and the effects of different regression algorithms are compared. The validity of the model is verified by the actual flight. The endurance of the aircraft can be estimated using this model with the given remaining capacity of the battery and the future flight tasks.</jats:p> |
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| spelling | Zhang, Wei Ding, Qingqing Zeng, Chao Wang, Chao 1742-6588 1742-6596 IOP Publishing General Physics and Astronomy http://dx.doi.org/10.1088/1742-6596/1267/1/012011 <jats:title>Abstract</jats:title> <jats:p>The quad-rotor UAV (Unmanned aerial vehicle) has a wide application market for its simple structure, easy operation and strong adaptability. During the flight, the endurance of UAV is an important parameter for flight planning, and it is of great significance to master the endurance capability of UAV. The endurance of UAV is mainly decided by the remaining capacity of the battery and the future energy consumption which changes with flight conditions. In this paper, a Flight Condition-Energy Consumption Model is established by analysing a large number of flight data with machine learning method, and the effects of different regression algorithms are compared. The validity of the model is verified by the actual flight. The endurance of the aircraft can be estimated using this model with the given remaining capacity of the battery and the future flight tasks.</jats:p> Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification Journal of Physics: Conference Series |
| spellingShingle | Zhang, Wei, Ding, Qingqing, Zeng, Chao, Wang, Chao, Journal of Physics: Conference Series, Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification, General Physics and Astronomy |
| title | Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_full | Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_fullStr | Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_full_unstemmed | Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_short | Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| title_sort | research on duration estimation of rotor uav based on flight condition-energy consumption identification |
| title_unstemmed | Research on Duration Estimation of Rotor UAV Based on Flight Condition-Energy Consumption Identification |
| topic | General Physics and Astronomy |
| url | http://dx.doi.org/10.1088/1742-6596/1267/1/012011 |