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Method for estimating endurance of fixed-wing solar unmanned aerial vehicle

A solar-powered unmanned aerial vehicle and solar-powered technology, applied in three-dimensional position/channel control, non-electric variable control, instruments, etc., can solve the problems of difficult estimation, lack of flight time estimation and complexity of solar unmanned aerial vehicle, and achieve simple estimation method , easy engineering application, suitable for a wide range of effects

Active Publication Date: 2017-11-21
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

Solar-powered UAVs are different from traditional aircraft. It uses solar radiation as its main energy, while traditional aircraft mainly use fossil fuels. The total amount of energy it carries can be known, and the energy usage is relatively easy to predict. The development of many centuries has been very mature. However, the total amount of energy carried by solar drones needs to collect solar radiation energy in real time and store it in energy storage batteries. It is related to many factors such as weather conditions, flight status, flight time and place, and the estimation is very Difficulties, such as longer-term weather forecasting is itself a very complex problem that has not been well solved
At present, judging from the public information collected, there is very little research on the flight time estimation of solar-powered UAVs

Method used

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Embodiment

[0093] Assuming that the parameters of a solar UAV are shown in Table 1, the cruising location is Beijing (39.93°N, 116.28°E, 55 meters above sea level), and the estimated parameters of solar UAV energy production are shown in Table 2. Firstly, the energy production status of solar drones in Beijing is calculated every day for 365 days a year through formula (1)-(15). Secondly, calculate the energy consumption status of UAV according to formula (16)-(26). Then, according to the formula (27) UAV energy production and consumption balance relationship, the UAV flight time window under the ideal state is obtained. Finally, according to the actual capacity of the battery in formula (28) - formula (30), the obtained flight time window in the ideal state is screened to obtain the actual and feasible flight time window, as shown in figure 2 shown.

[0094] Table 1 Parameter table of a UAV

[0095]

[0096]

[0097] Table 2 Estimated parameters of solar UAV energy production ...

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Abstract

The invention discloses a method for estimating the endurance of a fixed-wing solar unmanned aerial vehicle, which comprises the following steps: step 1: counting the energy production status of the solar unmanned aerial vehicle, that is, the total amount of energy production of each flying day of the solar unmanned aerial vehicle; step2: calculating the energy consumption status, that is, the energy consumption of each flying day of the aerial vehicle; step 3: estimating the flight time window under ideal conditions based on the energy balance criterion; step 4: taking into account the actual battery capacity and accurately estimating the flight time window. The method can relatively simply estimate the endurance of the solar unmanned aerial vehicle and can be applied in almost all places on the earth, and the adaptability range is very wide. The method of the invention is simple and convenient, only needs a few parameters, and is easy to be applied in engineering.

Description

technical field [0001] The invention relates to the field of design and mission planning of a solar-powered unmanned aerial vehicle, in particular to a method for estimating the flight time of a fixed-wing solar-powered unmanned aerial vehicle. Background technique [0002] Airtime estimation is of great value to the initial design evaluation and later mission planning and decision-making of solar UAV. Solar-powered UAVs are different from traditional aircraft. It uses solar radiation as its main energy, while traditional aircraft mainly use fossil fuels. The total amount of energy it carries can be known, and the energy usage is relatively easy to predict. The development of many centuries has been very mature. However, the total amount of energy carried by solar drones needs to collect solar radiation energy in real time and store it in energy storage batteries. It is related to many factors such as weather conditions, flight status, flight time and place, and the estimati...

Claims

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Application Information

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IPC IPC(8): G05D1/08G05D1/10
CPCG05D1/0808G05D1/101
Inventor 王宏伦黄宇李娜姚鹏
Owner BEIHANG UNIV
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