Identification Approach for Nonlinear MIMO Dynamics of Closed-Loop Active Magnetic Bearing System
Source abstract
Abstract
A systematic identification approach for the rotor/radial active magnetic bearing (rotor/RAMB) system is presented in this study. First, the system identification of the controller of commercial TMP is undertaken, and the corresponding linear dynamic models are constructed. To perfectly excite the nonlinearities of the rotor/RAMB system, a parallel amplitude-modulated pseudo-random binary sequence (PAPRBS) generator, which possesses the merits of no correlation among the perturbation signals, is employed. The dynamics of the rotor/RAMB system is identified with a Hammerstein–Wiener model. To reduce the difficulty of the identified two nonlinear blocks, the output nonlinear characteristics are estimated prior to the recursive process. Two conventional nonlinear model structures, i.e., NARX and NARMAX, are employed for comparison to verify the effectiveness of the identified Hammerstein–Wiener model. The averaged fit values of the Hammerstein–Wiener model, NARX model, and NARMAX model are 93.25%, 88.36%, and 76.91%, respectively.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Magnetic Bearings and Levitation Dynamics · Tribology and Lubrication Engineering · Iterative Learning Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical and Electro-Mechanical Engineering, National Ilan University, Yilan City 26047, Taiwan
Funding
Ministry of Science and Technology (Taiwan)
References (34)
Show source-provided references
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