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The mathematical model of components in an active magnetic bearing system plays important roles in system designing and adjusting. The linearized models are widely applied; however, sometimes these models are not precise enough. In this paper, a nonlinear modeling method based on Support Vector Regression (SVR) is proposed. The proposed model treats the rotor acceleration as a nonlinear function of the rotor displacement, rotor velocity and the coil currents; the model parameters are determined by a training procedure based on observed samples, no mechanism, computational or empirical models are needed in the modeling procedure. The proposed method is validated by a series of experiments.

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Booktitle: Proceedings of ISMB13