A CONCEPTUAL FRAMEWORK FOR UNDERSTANDING FUZZY LOGIC TEMPERATURE CONTROLLER DESIGN IN ELECTRONIC EQUIPMENT

Fuzzy logic control (FLC) has become a key approach for regulating temperature in modern electronic equipment, providing an adaptive and nonlinear alternative to conventional proportional–integral–derivative (PID) methods. Despite extensive studies on implementation outcomes, limited attention has been given to how engineers and learners can develop a structured understanding of the relationships between temperature dynamics, fuzzy rule construction, and controller reliability. This paper proposes a conceptual framework for understanding thermal FLC design, emphasizing the reasoning processes behind variable selection, membership function definition, and rule base construction. MATLAB-based simulation is used to illustrate how variations in these design elements influence transient and steady-state temperature behavior. By focusing on reasoning and comprehension rather than solely on implementation, the proposed framework aims to clarify the design process and support a deeper understanding of FLC thermal regulation in electronic equipment (pp.14-22).