The Research of Voltage Prediction of Solar UAV Panel by Improved Mind Evolutionary Algorithm

Abstract

Solar energy is a new energy, which is not only perennial but also obtainable to every strata of the world. The use of solar photovoltaic systems (SPV) is the process of converting solar energy into electricity. Photovoltaic modules are mounted on the wings of solar unmanned aerial vehicles. In this paper, a new MPPT controller is proposed to predict the voltage to obtain the maximum power from the solar panel. The proposed MPPT controller is based on mind evolution algorithm (MEA) optimized back propagation neural network (BPNN). Firstly, the mind evolution algorithm model is constructed based on topology of BP Neural Network. Then, it is used to obtain the optimal solutions, which is regarded as initial weights and threshold value of BP Neural Network. Finally, the simulation experiment is carried out by using MATLAB software. The prediction results of the BP neural network optimized by the mind evolution algorithm are compared.