Avl List Gmbh

Markus Stadlbauer

Stefan Jakubek

Christoph Hametner

Nico Didcock

Nikolaus Keuth

Andreas Rainer

Karl Zettel

Thomas Winsel

Maxime Deregnaucourt

Herbert Lanschützer

To determine a model for an output quantity (y) of a technical system that is dependent in a nonlinear manner on a number of input quantities in the form of an input quantity vector (u), a target output quantity range (COR) is defined and a model-based experimental design is determined with which the model is parameterized in the target output quantity range (COR) through the selection of associated input quantity vectors (u). A distance-based selection criterion is used for the selection of the input quantity vectors (u).

Method for determining a model of an output quantity of a technical system

A method for obtaining data from a nonlinear dynamic real system during a test run, for instance an internal combustion engine, a drivetrain, or parts thereof, a sequence of dynamic excitation signals is generated according to an initial design and a system output is measured. To enable the quick and precise generation of experimental designs for global measurement, modeling, and optimization of a nonlinear dynamic real system, a sequence of dynamic excitation signals was generated by generating a design with a sequence of excitation signals, obtaining output data by feeding said sequence into a model for the real system, determining a criterion for the information content of the complete design of experiment sequence, varying the sequence, obtaining new output data by feeding said modified sequence into the model, determining again said criterion, iterating until said criterion improves, and using the improved sequence of excitation signals for the real system.

Machine-implemented method for obtaining data from a nonlinear dynamic real system during a test run

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Vienna, Austria

Markus Stadlbauer