Hierarchical optimization of coupled self-optimizing systems

Author

Hölscher, Christian ; Zimmer, Detmar ; Kessler, Jan Henning ; Krüger, Martin ; Trächtler, Ansgar

Author_Institution

Dept. of Design & Drive Technol., Univ. of Paderborn, Paderborn, Germany

fYear

2012

fDate

25-27 July 2012

Firstpage

1080

Lastpage

1085

Abstract

In this work we present an approach for the optimization of distributed test rigs that are coupled only by information processing. Our application examples are an active suspension system and a linear drive with an active air gap adjustment which both represent a module of the rail-bound vehicle RailCab. Hierarchical optimization is used to combine the module-related optimal operating strategies, which are based on two distinct multiobjective optimizations. A Pareto front of the entire system is presented as a result of the hierarchical optimization.

Keywords

Pareto optimisation; air gaps; power transmission (mechanical); suspensions (mechanical components); Pareto front optimization; RailCab; active air gap adjustment; active suspension system; coupled self-optimizing system; distributed test rigs; hierarchical optimization; information processing; linear drive; multiobjective optimization; Acceleration; Actuators; Computational modeling; Force; Optimization; Suspensions; Vehicles; RailCab; active suspension; air gap adjustment; efficiency optimization; hierarchical optimization; linear drive; multiobjective optimization; self-optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics (INDIN), 2012 10th IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4673-0312-5

Type

conf

DOI

10.1109/INDIN.2012.6301199

Filename

6301199