Fuzzified Control for Band Dryer System

Precise temperature control is crucial in band dryer systems to ensure product quality, process efficiency, and energy conservation. However, traditional proportional-integral-Derivative (PID) controllers often struggle with the nonlinearities, uncertainties, and disturbances inherent in these systems. This research investigates the application of a fuzzy logic-based PID controller (FL-PID) to achieve robust and adaptive temperature control in a band dryer system. This work proposes a novel approach that combines the strengths of fuzzy logic and PID control, and we have carried out simulation work for fuzzy control procedures and PID control procedures in MATLAB Simulink. This adaptive tuning allows the controller to react quickly to disturbances and maintain tight temperature tracking, minimizing overshoot and settling time.