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Emission Reduction for a Small Gasoline Engine Using Fuzzy Control
Published April 19, 2004 by University of Salerno in Italy
This paper describes a cost-effective fuzzy control system applied to a small spark-ignition, internal-combustion engine to achieve regulation of the fuel injection system. It determines the amount of fuel required from a fuzzy algorithm using engine speed and manifold air pressure as input values. The fuzzy control parameters were a collection of comprehensible rules and fuzzy-set membership functions. This facilitated the calibration process, leading to quick and convenient tuning. Experimental results show that a considerable improvement in fuel regulation was achieved compared to the original carburetor-based engine configuration. In addition measurements of HC and CO emissions show a corresponding reduction.