Abstract

The use of fuzzy logic controllers in refrigeration and air conditioning systems, RACs, has as main objective to maintain certain thermal and comfort conditions. In this sense, fuzzy controllers have proven to be a viable option for use in RACs due to their ease of implementation and their ability to integrate with other control systems and control improvements, as well as their ability to achieve potential energy savings. In this document, we present a review of the application of fuzzy controls in RACs based on vapor compression technology. Application information is discussed for each type of controller, according to its application in chillers, air conditioning systems, refrigerators, and heat pumps. In addition, this review provides detailed information on controller design, focusing on the potential to achieve energy savings; this design discusses input and output variables, number and type of membership functions, and inference rules. The future perspectives on the use of fuzzy control systems applied to RACs are shown as well. In other words, the information in this document is intended to serve as a guide for the creation of controller designs to be applied to RACs.

Highlights

  • Refrigeration systems based on vapor compression are widely used in different sectors, such as domestic, commercial, and industrial

  • Within the control strategies, the control systems based on artificial intelligence techniques (artificial neural networks (ANN), fuzzy logic, and genetic algorithms) have shown potential in implementation for being more efficient and customizable

  • The input and output variables, the inference methods, and the different shapes for the membership function are explained looking for possible energy savings in these systems:

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Summary

A Review on Applications of Fuzzy Logic Control for Refrigeration Systems

Juan Manuel Belman-Flores 1,* , David Alejandro Rodríguez-Valderrama 1, Sergio Ledesma 1 , Juan José García-Pabón 2 , Donato Hernández 1 and Diana Marcela Pardo-Cely 1. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

Introduction
Fuzzy Controller Design Applied to RACs
Fuzzy Control in Air Conditioning Systems
Fuzzy Control in Domestic Refrigerators
Fuzzy Control in Heat Pumps
Energy Saving
Future Perspectives for the Application of Fuzzy Controllers in RACs
Inference Method
Findings
Conclusions
Full Text
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