PREDICTION OF EMISSIONS USING COMBUSTION PARAMETERS IN A DIESEL ENGINE THROUGH FUZZY LOGIC TECHNIQUES

摘要

The present generation faces a major problem due to pollution. The pollution from diesel engines contributes to nearly 33% of the total atmospheric on-road vehicle pollution. Diesel engine contributes more smoke and oxides of nitrogen (NO{sub}x) which are harmful to the health and environment. Preventive steps could be taken if these emissions are predicted. In this paper, the prediction of smoke and NO{sub}x has been attempted through fuzzy logic techniques. Using fuzzy logic, intermediate values could be defined between conventional evaluations. The combustion parameters considered for prediction of emissions are load, peak pressure, indicated mean effective pressure, combustion duration, and ignition delay. Based on the engine system, rules have been framed. The pollutants NO{sub}x and smoke are the output parameters. On comparison, the actual experimental readings and the values through fuzzy logic show a good correlation. Since there is a good correlation, NO{sub}x and smoke can be predicted for any intermediate load conditions. This helps the manufacturers to meet the emission regulations for Euro norms.