Dokument 1.pdf - Universität Siegen
Dokument 1.pdf - Universität Siegen
Dokument 1.pdf - Universität Siegen
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Abstract<br />
With the growing complexity of new control concepts, for example GDI 1 and new strategies<br />
for diesel engines, the number of calibration tasks is steadily increasing. In order to<br />
handle the increasing number of calibration tasks in shorter development times the automatic<br />
calibration procedures are becoming more and more important. The calibration<br />
tasks can be differentiated in static and dynamic procedures. A wide range of experience<br />
already exists in the field of static automatic calibration routines and supportive tools<br />
following the research phase on the market. The research and implementation in the<br />
field of the model-based calibration of dynamic plant behaviour is just in the starting<br />
phase.<br />
The subject of this Ph.D. thesis is the procedure and algorithms of model-based dynamic<br />
calibration. The focus will be on the dynamic calibration procedure and it will<br />
demonstrate the results for the application of the calibration of the dynamic behaviour<br />
of the air and fuel path of an SI 2 -engine.<br />
The following procedure will be used for the model-based dynamic calibration:<br />
1. Plant behaviour must be modeled or dynamic model of the plant exists as a priori<br />
knowledge.<br />
2. Excitation of the dynamic system and identification of the parameters of the dynamic<br />
model with the input/output measurements.<br />
3. Verification of the identified parameters.<br />
A mathematical model description is necessary in order to use the procedure shown<br />
above. The first focus of this work (see chapter two) is to present the model descriptions<br />
based on differential equations for the time continuous and difference equations for the<br />
time discrete case. These cases are discussed for the linear and nonlinear mathematical<br />
descriptions. Furthermore the derived model descriptions are extended to a stochastical<br />
description to take into account the disturbances at the input and the output of the<br />
observed system. The derived mathematical model descriptions are the basis for the<br />
model-based calibration procedures (see chapters five and six).<br />
1 Gasoline Direct Injection<br />
2 Sequential Injection<br />
v