An adaptive nonlinear fuel injection control algorithm for motorcycle engine

Abstract

The purpose of this research is to apply an adaptive fuel injection control algorithm on a motorcycle engine and evaluate its performance. A highly nonlinear switching type EGO sensor is used to measure the air fuel ratio of the engine. In the research, the nonlinear control algorithm is developed based on a Lyapunov function. Furthermore, an observer is also applied to estimate the air flow rate into the combustion room. The results show that the air fuel ratio and engine speed are stable under steady manoeuvres and the air-fuel ratio values are satisfactory.