
Please use this identifier to cite or link to this item:
https://repositorio.uide.edu.ec/handle/37000/5743
Title: | Prototype of photovoltaic generator using artificial intelligence to control and optimize the maximum power point tracking |
Authors: | Orellana Cepeda, Cristian Alfredo Oscullo Naranjo, Cristina Giselle (tutor) |
Keywords: | PROTOTYPE;PHOTOVOLTAIC GENERATOR;ARTIFICIAL INTELLIGENCE;MAXIMUM POWER POINT TRACKING |
Issue Date: | 2023 |
Publisher: | QUITO/UIDE/2023 |
Citation: | Orellana Cepeda, Cristian Alfredo. (2023). Prototype of photovoltaic generator using artificial intelligence to control and optimize the maximum power point tracking. Facultad de Mecatrónica. UIDE. Quito. 40 p. |
Abstract: | The proposed solar tracker consists of mechanical, electrical and computing components, which are interrelated. The mechanical components include the structure that supports the panel and the mechanisms used. The electronic components include the microcomputer, the sensors and the actuators that control the rotating mechanisms. The entire photovoltaic power generation system corresponds to the electrical part of the project. The computer part includes the development of the artificial intelligence, as well as the development of the web interface to monitor the performance of the panel. |
URI: | https://repositorio.uide.edu.ec/handle/37000/5743 |
Appears in Collections: | Tesis - Ingeniería en Mecatrónica |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
UIDE-Q-TMECA-2023-7.pdf | TESIS A TEXTO COMPLETO | 7.63 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.