Fuzzy logic controller deployed for indoor air quality control in naturally ventilated environments

This paper provides new indoor air quality control (IAQ) based on fuzzy logic control in natural ventilated indoor environments where no other ventilation approaches are installed or can be installed due to space limitation or economical reasons. For the presented fuzzy logic controller, four distributed sensors inside the indoor environment are used to provide the basic measurable inputs to the fuzzy system. These inputs are the carbon dioxide (CO2 ), carbon monoxide (CO), humidity (H2O) and odors concentrations inside the indoor environment. The fuzzy logic output will provide the required control command to the DC-motor connected to the fan by determining the necessary duty cycle to the PWM module. As a result, fresh air is allowed to replace the polluted air inside the indoor environments such as rooms and small workshops. The presented results for the conducted simulation scenario have confirmed the ability of the new system to handle the ventilation problem at critical situations compared to natural ventilated indoor environments. Also the presented controller is economically efficient by saving the electrical power and for implementation phase it is also inexpensive. (authors)