18.11.2013 Aufrufe

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

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