Engine Fuel Injection Control using Fuzzy Logic

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. The system determines the amount of fuel required from a fuzzy algorithm that uses the engine speed and manifold air pressure as input values. The parameters of the fuzzy control paradigm were a collection of rules and fuzzy-set membership functions. These were intuitively comprehensible by the operator. 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 carburettor-based engine configuration. In addition measurements of HC and CO emissions show a corresponding reduction.