A Distributed Fuzzy Logic with Consensus for Exhaust Fan Controller

Abstract

Recently, the deployment of several exhaust fans for indoor cannot perform smoke suction ditributedly with the different exhaust fan speed according to the spread of smoke concentrations. It is because of the commercial exhaust fans sold in the market only have a constant fan rotational speed (usually full speed). Therefore, in this paper, a distributed fuzzy logic exhaust fan controller system with consensus averaging is designed to control different fan speed based on the distribution of smoke concentration in a closed room. Smoke is detected by smoke sensor in the form of carbon monoxide (CO) gas from burning wood charcoal. Based on the experiment, after the fuzzy logic process, each controller can communicate and exchange fuzzy logic output with its adjacent controllers to execute average consensus algorithm to regulate fan speed with respect to smoke concentration.