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Mechatronic powertrain virtual sensor: system-level model and sensor selection
Boekbijdrage - Boekhoofdstuk Conferentiebijdrage
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.
Boek: International Conference on Structural Engineering Dynamics
Pagina's: 1 - 1
Aantal pagina's: 10
Jaar van publicatie:2017