Abstract
System identification has been performed by genetic algorithm (GA) based on experiment data, while the modeling of nonlinear system for automotive engines including electronic control throttle servo system has been carried out. In such complicated nonlinear engine control system, however, it is well known that the estimation of the parameters with good accuracy has been made difficult, since there are many unknown parameters in the analysis model. In this study, the intake system related to intake air flow rate and the another system related to engine speed are independently identified at the first step, and the finally, the total system identification which simultaneously satisfies both systems is made by converging analysis. Moreover, as a result of also carrying out identification experiment using, this technique in an actual engine control system, the effectiveness of this new technique was confirmed.
