Ignition Timing Prediction of a Four Strokes Engine using Fuzzy Neural Predictor

Engine Control Unit (ECU) is main part of modern internal combustion engine. Using information provided by many sensor attached surrounding the engine ECU produce appropriate control signal to actuators. One of the most important signal is ignition timing signal. This signal will start combustion process in an internal combustion engine, ensure the engine keep working. This paper proposes ignition timing prediction of a four strokes engine, i.e. a motor cycle, using Fuzzy Neural Predictor (FNP). Experimental results show that ignition prediction using FNP has good accuracy with considerably small error rate in term of signal amplitude. Nevertheless, in term of ignition timing, FNP provide almost perfect information on ignition starting.