Development of a Climate Equipment Parameter Acquisition System using PID and Fuzzy Logic Controllers to Improve Energy Efficiency

Today, energy-efficient resource management is an important task. This study aims to improve the energy efficiency of the cooling system of a technical room by developing a transparent and explainable temperature adaptation tuning algorithm based on the combination of PID control and fuzzy logic methods. This work focuses on the design and development of a hardware and software system consisting of a microcontroller and a temperature sensor. This paper analyzes temperature control based on PID and fuzzy controllers and proposes a combined method to allow for more accurate temperature control tuning. The experimental results show that the combined method reduces the rise time by at least 5%, the stabilization time by at least 17%, and the power consumption by at least 21%.