Comparative analysis of versatile temperature-controlled systems using fuzzy logic controllers

This article presents a comparison of versatile temperature-controlled systems utilizing fuzzy logic (FL) controller, highlighting their unique functionalities and verifying objectives. The meditate focuses on the following four primary systems: a temperature-controlled fan system, a temperature-controlled warmer system, a cool-controlled warmer system, and a cool-controlled fan system. The primary quill function of each system, control objectives, identify stimulant and output variables, response characteristics, normal applications, system complexity, vitality efficiency, and situation suitability are examined. The temperature-controlled fan system primarily cools by regulation airflow, achieving a mean temperature error of −0.0319°C. The temperature-controlled heater system heats the environment, with a mean temperature error of 1.4696°C. The cool-controlled heater system of rules prevents overheating by modulating heat output and maintains a stable environment, while the cool-controlled fan system of rules maintains a tankful undefined by increasing airflow. Differences in system complexity with fan systems managing humidness and warmer systems focused on a temperature increase are noted. The wallpaper provides a comprehensive overview, making it clear how each system of rules is the best right for particular conditions and applications.