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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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 t

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

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[0092] Examples:

[0093] Assuming that the parameters of a solar-powered drone are shown in Table 1, the cruise location is Beijing (39.93°N, 116.28°E, and the altitude is 55 meters), and the estimated parameters of solar-powered drone energy production are shown in Table 2. First, calculate the energy production status of solar UAVs in Beijing for a year and 365 days by formulas (1)-(15). Secondly, calculate the energy consumption of the drone according to formulas (16)-(26). Then, according to formula (27), the unmanned aerial vehicle's energy production and consumption balance relationship is derived from the ideal state of the drone's flight time window. Finally, according to the actual capacity of the battery from equation (28) to equation (30), filter the calculated flight time window in the ideal state to obtain the flight time window that is actually feasible, such as figure 2 Shown.

[0094] Table 1 Parameters of a UAV

[0095]

[0096]

[0097] Table 2 Estimated Para...

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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...

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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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