Synchronous vibration is an obstacle to the performance improvement of a rotating shaft supported by active magnetic bearings (AMBs). This paper explores a novel autobalancing method for the magnetically suspended rotor in the motor driveline system based on the synchronous rotating frame (SRF) transformation. The principle and structure of SRF transformation used for the online identification of the physical characteristics of rotor imbalance is given. A modeling and analysis method for the SRF transformation, using complex transfer functions, is presented. The convergence rate and computational complexity compared with the conventional generalized notch filter are further investigated. As well, we conduct the stability analysis of the proposed control system, which is incorporated into the SRF transformation. Simulation and experimental results on a motor driveline system demonstrate a significant effect on the synchronous vibration suppression of the magnetically suspended rotor.
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Zheng et al. (2015) studied this question.
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