Method for predicating voltage of solar unmanned aerial vehicle cell panel

Abstract

The invention provides a method for predicating voltage of a solar unmanned aerial vehicle cell panel. The method for predicating the voltage of the solar unmanned aerial vehicle cell panel comprisesthe following steps of 1, acquiring an operation parameter of the solar cell panel, obtaining a training set and a prediction set according to the operation parameter, and performing normalization processing on operation parameter data of the solar cell panel in a sunny day; 2, building a BP neural network according to the normalized training set; 3, obtaining the initial weight and initial threshold value of the BP neural network through optimization according to an adaptive differential algorithm; 4, using the optimized weight and threshold value as the initial weight and initial threshold value of the BP neural network, and training the BP neural network by means of the training set; and 5, inputting the to-be-predicated data in the predication set into the BP neural network, comparingthe predication value which is output from the BP neural network with an actual value, and evaluating accuracy of a predication result.

Description

technical field [0001] The invention relates to the field of solar cell voltage prediction in solar unmanned aerial vehicles, in particular to a prediction method for solar unmanned aerial vehicle battery panel voltage. Background technique [0002] With the development of society, fossil fuels are facing depletion, and environmental problems are becoming increasingly prominent. To solve this problem, human beings began to pay attention to renewable energy, and the green and pollution-free solar energy has become the focus of researchers. As a way to effectively use solar energy, solar-powered drones have been developed to a certain extent. [0003] However, considering that the power generation of the battery on the upper surface of the UAV is affected by many factors, the voltage (power) is greatly affected by external factors, which will affect the long-term battery life of the UAV. Therefore, the solar panels on the upper surface of the wing Output voltage prediction i...

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Problems solved by technology

[0003] However, considering that the power generation of the battery on the upper surface of the UAV is affected by many factors, the voltage (power) is greatly affected by external factors, which will affect the long-term battery life of the UAV. Therefore, the solar panels on the upper surface of the wing output voltage prediction is very important

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