Virtual sensing on mechatronic drivetrains using multiphysical models

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.

ISBN:9788494424403

Publication year:2015

Accessibility:Closed