Optimizing Microclimate Comfort in Smart Constructions Using an Intelligent Fuzzy-PID Temperature Regulation System

This research paper investigates the implementation and performance of an smart Fuzzy-PID Temperature Control approach within the context of optimizing the microclimate in intelligent buildings. The study delves into the intricate dynamics of this innovative control system, emphasizing the critical role of precise parameter tuning and the incorporation of fuzzy logic for adaptive PID control. The research encompasses the development and application of a comprehensive fuzzy rule base, encompassing fuzzification, fuzzy inference, and defuzzification processes to facilitate dynamic parameter adaptation. Through meticulous simulations and comparative analyses with conventional control systems, the study reveals the superior performance of the proposed controller in maintaining a stable and comfortable indoor environment. Temperature stability, precision, and narrow fluctuations are hallmarks of its efficacy, contributing to enhanced comfort of residents and energy saving. The results presented in this paper highlight the promising potential of the Intelligent Fuzzy-PID Temperature Control approach in advancing the management of intelligent buildings, aligning with contemporary objectives of sustainability and resource optimization. This research underscores the significance of integrating intelligent control systems for improved indoor microclimate regulation and lays the foundation for further exploration and practical implementations in the realm of smart building management.