Hybrid planning and hierarchical optimization of mechatronic systems

In the presented work, a hybrid planner is used to adjust the active suspension system of a novel railway vehicle to upcoming situations. The hybrid planner uses the results from a model based multi objective optimization as a basis for discrete planning in continuous domains. The optimization works...

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Bibliographic Details
Published in2008 International Conference on Control, Automation and Systems pp. 1047 - 1054
Main Authors Munch, E., Adelt, P., Kruger, M., Kleinjohann, B., Trachtler, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
Subjects
Automatic control
Automation
Control systems
Force control
hierarchical model
hierarchical optimization
hybrid planning
Mechanical engineering
Mechatronics
Rail transportation
Remotely operated vehicles
Runtime
self-optimization
System testing
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Summary:In the presented work, a hybrid planner is used to adjust the active suspension system of a novel railway vehicle to upcoming situations. The hybrid planner uses the results from a model based multi objective optimization as a basis for discrete planning in continuous domains. The optimization works on a hierarchically organized set of mechatronic function modules which are represented as a hierarchical model. A centralistic as well as a distributed optimization mode are presented along with a resulting Pareto set.
ISBN:8995003898
9788995003893
DOI:10.1109/ICCAS.2008.4694309