The paper presents the results of modeling a fuzzy logic controller for an intelligent system formonitoring and managing indoor microclimate conditions. The use of fuzzy logic in programmingprovides certain advantages, such as simplicity of data input into the control system and the ability toreduce errors inherent in classical microcontrollers. The microprocessor system used is based on theArduino UNO board model Arduino Rev3, which features the ATMEL ATmega328P microcontroller andis compact, cost-effective, and easy to use. A fuzzy logic controller is utilized in the system for effectivemicroclimate regulation. During the development of the intelligent system, the LabView softwareenvironment and Arduino IDE were employed. The study breaks down the system into severalcomponents and establishes links between them to enhance the efficiency of the software. Decisionmakingis determined by the system's functional requirements and the selected equipment forimplementation.
Yalova et al. (Fri,) studied this question.
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