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Model-Based Calibration of Dynamic Plants in Engine Applications
Published September 25, 2000 by ISATA - Dusseldorf Trade Fair in United Kingdom
Event: ISATA 2000
The aim of this paper is to display the possible use of model-based calibration of linear and nonlinear dynamic plant behavior. The application of calibrating the air and fuel path of an SI engine with real data has been realized to demonstrate the effectiveness of the described proceedings. The first step is to estimate the manifold time constant and the variable delay time from the moment the outlet valve opens until the exhaust gas reaches the air-fuel-ratio sensor using a linear adaptive Kalman Filter. The second step is to identify the fuel path, especially the wall wetting parameters, using a linear Kalman Filter approach to solve the regression problem. The algorithms shown are particularly useful for automated schemes for future dynamic calibration applications.