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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…mehr

Produktbeschreibung
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.
Autorenporträt
Sri Ragavarshini K, has completed her undergrad in the discipline of instrumentation and control engineering at Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. Her research interests include the design and tuning of controllers, product development, machine learning, and parameter monitoring in the process control industry.