Discrete Interval Binary Sequence (DIBS) signal for magnetic bearing system identification

Abstract

This thesis studies the system identification method based on excitation signals, focusing on the axial AMB system, and analyzes the application of Discrete Interval Binary Sequence (DIBS) excitation signals in frequency domain identification. The main task is to integrate the DIBS signal generation into the Simulink simulation model of the magnetic levitation bearing, and develop a complete system identification framework. To start the identification process, first a low frequency DIBS signal is generated, by constructing DIBS excitation signals with different frequency ranges (0 to 200 Hz) and applying them as an excitation signal inputs to the magnetic levitation bearing model, input current and displacement response data are obtained under fixed sampling conditions.This utilized a DIBS based identification method that enable system identification over a specified range of excitation frequencies and developed a usable simulation identification process to provide support for the dynamic characteristic analysis of magnetic levitation bearing systems.