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Controlling temperature using proportional integral and derivative control algorithm for hybrid forced convection solar dryer
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PID control
hybrid solar dryer
forced convection
temperature regulation
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Abstract
Temperature control in hybrid forced convection solar dryers critically influences drying efficiency, product quality, and energy consumption. This study investigates the implementation of a Proportional-Integral-Derivative (PID) control algorithm to regulate air temperature in a hybrid forced convection solar dryer. By integrating PID control with the dryer’s operational framework, we evaluated performance under varying environmental and load conditions. Simulation and experimental analyses demonstrate that PID control effectively maintains target drying temperatures, minimizes overshoot, and enhances energy utilization. The results indicate improved uniformity in drying rates and reduced moisture content variability, highlighting the potential of advanced control algorithms in renewable energy-based drying systems.
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