Desarrollo de un sistema de control para la inmotización de iluminación con paneles solares para un laboratorio de la Universidad Politécnica Salesiana mediante inteligencia artificial.

Abstract

This project details the design and implementation of an inmotic system that controls the lighting of the rear half of the C1 laboratory of the UPS (Universidad Politécnica Salesiana) through neural networks, being powered by photovoltaic solar energy extracted from a solar panel and controlled by an MPPT (Maximum Power Point Tracking). The presented system consists of three subsystems: the first is responsible for the extraction and storage of photovoltaic energy through a maximum power point tracking (MPPT) charge controller and an electric accumulator; the second is in charge of selecting between photovoltaic energy or public electricity supply as a source for the system; the third is the luminaire control subsystem, which uses neural networks to control the automatic switching on and off of luminaires based on sunlight entering the rear half of the south campus UPS C1 lab. At the end, the comparison of the lighting energy consumption data between the public electricity supply and the home automation control system is made. The calculations made, the design of each subsystem and the results obtained from the tests carried out in this technical project are also detailed.