Dynamic Balance Correction of Active Magnetic Bearing Rotor Based on Adaptive Notch Filter and Influence Coefficient Method
Source abstract
Abstract
In an active magnetic bearing (AMB) rotor system, the mass imbalance of the rotor is inevitable due to uneven materials, machining errors, assembly errors and other factors. When the rotor rotates, the unbalanced mass generates centrifugal force at the same frequency as the rotational speed, which causes vibration and affects the smooth operation of the rotor. Aiming at the mass imbalance of AMB rotor, a new method based on an adaptive notch filter (ANF) and the influence coefficient method (ICM) is proposed. Firstly, the improved ANF is used to track the rotor displacement signal, and the amplitude and phase information of the displacement signal are calculated. Then, according to the amplitude and phase information calculated by ANF, the ICM is used to calculate the counterweight information of the rotor dynamic balance, which includes the counterweight mass and counterweight position. Finally, the dynamic balance correction of the AMB rotor is realized by adding the calculated counterweight mass to both sides of the rotor. This paper validates the feasibility of the proposed method for the dynamic balance correction of the AMB rotor through simulation and experiment. The four radial displacement unbalances of the rotor were reduced by 56.6%, 62.8%, 49.2% and 63.7%, respectively.
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Research context
OpenAlex topics: Magnetic Bearings and Levitation Dynamics · Tribology and Lubrication Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, China
CNPC-CZU Innovation Alliance, Changzhou University, Changzhou 213164, China
Funding
National Natural Science Foundation of China · Changzhou Science and Technology Plan Project · Natural Science Foundation of the Jiangsu Higher Education Institutions of China · CNPC-CZU Innovation Alliance · Postgraduate Research & Practice Innovation Program of Jiangsu Province
References (23)
Show source-provided references
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