Continuous time system identification of magnetic bearing systems using frequency response data

This paper focuses on identifying nonlinear unstable magnetic bearing systems using a linear model and frequency response data. Subspace system identification methods adopting a Laguerre network in the frequency domain were used to identify continuous time transfer functions for a test-stand magnetic bearing apparatus. The results show that a continuous time multivariable model was successfully identified based on the experimental data.