Fuzzy control to maximize the performance of a two-degree-of-freedom photovoltaic solar tracker

Carlos Arturo Vides Herrera, Aldo Pardo García and Ivaldo Torres Chávez

Data and Metadata, 2025, vol. 4, 588

Abstract: Introduction: The need to reduce global warming is increasing every day and is a priority for the governments of our people and for organizations that support the environment, which is why it is proposed to contribute to increasing the performance of photovoltaic solar systems, using emerging technologies. Methods: For this work, control techniques are used through intelligent computing, more specifically a fuzzy control system for the search for the maximum power point in a photovoltaic solar tracker. Results: As a result, a fuzzy controller was designed and implemented that allows obtaining the point of maximum solar efficiency at any time during the day. The solar tracker is oriented at the maximum power point (MPPT) at each instant in time, thus increasing energy production and reducing system losses due to the orientation of the PV panel. Conclusions: The use of computational intelligence techniques such as fuzzy logic allows for an increase in the performance of photovoltaic solar tracking systems, which was verified by implementing a programmed fuzzy controller in an embedded system

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:4:y:2025:i::p:588:id:1056294dm2025588

DOI: 10.56294/dm2025588

Access Statistics for this article

More articles in Data and Metadata from AG Editor
Bibliographic data for series maintained by Javier Gonzalez-Argote ().