Design and Simulation of a Fuzzy PID Control System for Building Climate

Abstract

This article discusses that climate control systems are important to maintain comfortable temperatures and clean, and efficient structures in the modern world. An effective system for climate control of buildings including responses in real time is highly beneficial for human comfort and the reliability of equipment. Nevertheless, conventional proportional-integral-derivative (PID) control systems may experience difficulties in addressing the non-linear processes and changing conditions of properties, as a result of which they deliver quite a low level of performance. Thus, this research work presents an adaptation of the conventional control scheme known as the PID model as the Fuzzy PID. The Fuzzy PID system was developed and analyzed through simulation to determine its performance solution in comparison to conventional PID control. The results further reveal that the proposed Fuzzy PID controller enhances the response time, stability, and accuracy by bringing down by about 15% the overshoot and by about 20% the settling time as compared to the basic PID controller. To the existing field of control methodologies in building climate systems, this research helps extend the progress towards better control systems that can bring about improvements in energy consumption and occupant comfort in multiple uses.