Abstract
In this paper, we propose a new technique for a measurement of crank angle in a real-time of an automobile engine application. In conventional method for the measurement of the encoder that mainly limited to a laboratory experiments, thus, it is impossible to obtain sufficient information including the effect of wind or variations of the torque that occurs when it has been implemented in the real vehicle. In this study, we use the crank position sensor in order to solve aforementioned problems in effective way; where the prediction and interpolation are necessary to realize in the real-time measurement. Prediction is possible to obtain sufficient accuracy by build an engine speed prediction model using the autoregressive moving average (ARMA) model that has been designed based on the measurement values of the past and current. Furthermore, an interpolation is possible to obtain a sufficient accuracy by reproducing the crank angular acceleration by a physical model using known information.
