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Virtual sensing on mechatronic drivetrains using multiphysical models

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

This paper discusses coupled input/state estimation on a typical mechatronic driveline, consisting of an electric motor and a cardan transmission with flexible intermediate shaft. States and an a-priori unknown load torque are estimated using an Unscented Kalman Filter. This approach enriches the nonlinear lumped-parameter coupled electro-mechanic drivetrain model by measurement data. The measurement data - subject to realistic noise levels - is generated by a reference model which consists of a 1D motor model in combination with a 3D flexible multibody model of the cardan transmission. By employing current measurements in combination with rotational acceleration data, stable load torque estimation is numerically validated for dynamic excitation.
Boek: Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics 2015
Pagina's: 708 - 719
ISBN:9788494424403
Jaar van publicatie:2015
Toegankelijkheid:Closed