| Autor: |
Rottiers, Ward, Naets, Frank, Forrier, Bart, Sarrazin, Mathieu, Van Der Auweraer, Herman, Desmet, Wim |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Popis: |
Virtual sensors provide measurements for variables and parameters which are difficult to measure, based on a small number of (preferably pragmatic) measurements in combination with a numerical model of the observed system. This work presents a global virtual sensor to extract the full state of a mechatronic drivetrain based on a system-level model and a Kalman filter. Sensor selection is performed based on an observability analysis and the Kalman filter settings are based on a Monte-Carlo simulation. The virtual sensor is validated experimentally on a mechatronic powertrain test setup. ispartof: pages:1-1 ispartof: International Conference on Structural Engineering Dynamics pages:1-1 ispartof: ICEDyn 2017 - International Conference on Structural Engineering Dynamics location:Ericeira, Portugal date:3 Jul - 5 Jul 2017 status: published |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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