Development of an electrostatic air filtration system using fuzzy logic control

Particulate matter is one of the factors that can affect air quality. The air quality can be determined by the Air Pollution Index, which has several parameters including PM₁₀ and ozone (O₃). Air pollution can be overcome by using a filtration system based on electrostatic precipitation when particles are attached to the static charges. In this study, we have developed a prototype of the electrostatic filter based on fuzzy logic control to reduce air pollution of particulate matters. The electrostatic filter is an ozone generator consisting of plate-type corona discharge and a high voltage dc generator. The experimental results showed that the more ozone generators used as electrostatic filters, the faster the particulate concentration decreases. However, the use of ozone generators may increase the concentration of ozone in the air that can be harmful to human health. Therefore, we have developed an electrostatic precipitation-based air pollution control using fuzzy logic. Semiconductor gas sensor and laser dust sensor are used as feedback signals for the system in regulating the number of charges released by ozone generators. Implementation of this control system can reduce the particulates of PM₁₀ by 80% within 10 minutes while maintaining a low level of ozone during the air purification process.