Model identification and analysis for parallel permanent magnetic suspension system based on ARX model

Abstract

The parallel permanent magnetic suspension system using flux-path control is composed of a servo motor, a radially magnetized disk magnet, and a pair of magnetizers. Establishing an accurate mathematical model is difficult owing to the system's special structure and nonlinear characteristics. To acquire an accurate mathematical model, an autoregressive exogenous (ARX) model identification method is applied to the system. First, the system input and output data are acquired from the suspension experiment. Then, an ARX model is established utilizing the data from the system identification method. Lastly, the relevant simulations and experiments are carried out to verify the validity of the ARX model. The results show that the simulation data with the ARX model closely agree with the test data obtained from the same controller. This model identification method can provide a better way to acquire a more accurate mathematical model for improving the controller.

Keywords

Permanent magnetic suspension model identification ARX model

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