#### Authors:

Alexey L. Rutskov,Viktor L. Burkovsky,Evgeny V. Sidorenko,Valery N. Krysanov,#### DOI NO:

https://doi.org/10.26782/jmcms.spl.8/2020.04.00019#### Keywords:

Smart Objects, distributed objects,PID controllers,fuzzy neural network,fuzzy neural controller,mathematical modeling,#### Abstract

The implementation of ‘Smart Objects’ is an important part of the development of adaptive Smart Grid structures. For this class of objects, poorly for malizable factors, such as microclimate parameters, environmental indicators, and consumer load, acquire a significant influence. To solve this, PID controllers are usually used in Smart Objects; however, their accuracy is limited. Fuzzy neural controllers are an alternative solution for the integrated optimization of Smart Objects. This article proposes a scalable model of Smart Object equilibrium by the example of basic utility systems (heating, air conditioning/ventilation and illumination). It was found that the use of fuzzy neural controllers in such systems makes it possible to improve their efficiency by increasing the accuracy of energy consumption forecasts. Control systems based on PID controllers and fuzzy neural controllers in Smart Object were comparted only to find that the latter have a higher accuracy.#### Refference:

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