Avl List Gmbh

Nikolaus Keuth

Stefan Jakubek

Christoph Hametner

Markus Stadlbauer

Christian Mayr

Thomas Winsel

Thomas Ebner

Horst Pflügl

For the determination of a non-linear controller for a non-linear system it is proposed that a parameter set (K(k)) of the controller () is determined by means of an optimization using a multi-criteria evolutionary algorithm, in which algorithm a plurality of parameter sets (K(k)), which each represent a possible solution of the optimization, are determined in each evolution step and at least two quality values (f) are determined for each parameter set (K(k)) and the quality values (f) are optimized by the multi-criteria evolutionary algorithm.

Method for designing a non-linear controller for non-linear processes

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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Graz, Austria

Nikolaus Keuth