Nonlinear Modeling of a Magnetic Bearing System using SDP model and Linear Wavelet Parameterization

In this paper, we present the nonlinear modeling of a magnetic bearing system. The approach uses the SDP model to characterize the system's nonlinearities; and an optimized model structure selection algorithm in which linear wavelet functional approximation and PRESS statistics are in use prior...

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Bibliographic Details
Main Authors: Nguyen-Vu Truong, Liuping Wang, Jianming Huang
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Linear approximation
Magnetic levitation
Nonlinear dynamical systems
Nonlinear systems
Parametric statistics
PD control
Predictive models
Shafts
System testing
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Summary:In this paper, we present the nonlinear modeling of a magnetic bearing system. The approach uses the SDP model to characterize the system's nonlinearities; and an optimized model structure selection algorithm in which linear wavelet functional approximation and PRESS statistics are in use prior to the final parametric estimation. The experimental results reported in this paper demonstrate the approach in identifying a test-stand magnetic bearing system.
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2007.4282623