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At the present stage of development of carbon nanomaterial production technologies great attention is paid to the creation of equipment that allows for obtaining these materials in significant amounts. Tambov State Technical University (TSTU) in cooperation with research and industrial teams carries out research, as well as design and manufacturing work for process equipment to obtain carbon nanofibres and nanotubes. As a result of this work the experimental industrial production technologies for hydrocarbon catalytic pyrolysis were developed. Experimental samples of products (nanofibres) were obtained.

The article shows the importance of tracking the point of maximum power and ways to achieve it. Methods of “perturbation and observation” and a fuzzy logic regulator (FLR) are analyzed. The modeling of the photovoltaic system operation in various conditions is carried out and the principle of its operation is considered.

Methods for representing data of an artificial neural network for modeling and control of electric power systems are presented. The MathLAB software implemented an algorithm for predicting the consumption of electrical load; simulation was performed. The most effective method of presenting the primary data of a neural network is chosen on the basis of the results obtained.

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