Low Cost and Energy Efficient Fuzzy based Kitchen Ventilation Control System

Abstract

In this paper, a kitchen ventilation control system is modeled using fuzzy system-modeling technique and implemented through a microcontroller. Based on the Mamdani’s model, the designed fuzzy kitchen ventilation system accepts four crisp input values from Stove Heating, Cooking Fumes, Humidity, and Temperature sensors; divides the treatise into sections, each with two fuzzy variables; fire rules and assigns singleton values to each output variable. A single defuzzifier is deployed to adjust the speed of actuator: the kitchen exhaust fan. The model is implemented and verified using a microcontroller by utilizing its pulse-width modulation (PWM) capabilities. Comparative analysis of the results confirms the high accuracy of the proposed model which yields a maximum relative error of ~ 1 % between the model designed outputs and corresponding measured duty cycles of output pulses generated by the microcontroller. The rotations per minute (RPM) of 12 V dc fan, however, show a maximum relative error up to ~ 8 % due to its intrinsic non-linear behavior with respect to the duty cycle of input pulses.