Harmonic vibration suppression of maglev rotor system under variable rotational speed without speed measurement

Yang, Kezhen; Hu, Yefa; Wu, Huachun; Zhou, Jian; Weihu, Xiao; Wang, Nianxian

doi:10.1016/j.mechatronics.2023.102956

Cited by 5 publications

(1 citation statement)

References 27 publications

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“…At present, the research on torsional vibration controllers for pure EVs mainly involves the design of a notch filter to reduce the amplitude of the conjugate pole depression peaks of the system transfer function and to reduce the oscillations in the system. A novel multi-notch filters (MNFs) method with a frequency estimator is presented to suppress the harmonic vibration for maglev rotor system [19]. A Butterworth low-pass filter is designed to suppress local vibration for PMSM Servo System [20].…”

Section: Introductionmentioning

confidence: 99%

Non-singular Fast Terminal Sliding Mode Control Torsional Vibration Suppression for PM Synchronous Transmission System of EVs

Jia,

Zhao,

et al. 2023

PIER M

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To suppress the torsional vibration caused by the omission of couplings and dampers during flexible power transmission in the permanent magnet (PM) synchronous drive system of pure electric vehicles (EVs), this paper presents a non-singular fast terminal sliding mode control (NFTSMC) torsional vibration suppression strategy based on a sliding mode disturbance observer (SMDO). First, a PM synchronous drive system is simplified as a two-inertia model, and a mathematical model is established. Then, an NFTSMC controller of the load-side speed feedback is designed to suppress torsional vibration. Meanwhile, an SMDO is designed to estimate the load disturbance, and the estimated value is fed back to the controller to perform feedforward compensation. The robustness of the system is improved, and the effect of the load disturbance on the system is reduced. The results of the simulations and experiments show that the presented NFTSMC based on the SMDO strategy has a strong torsional vibration suppression effect compared to PI control and conventional sliding mode control.

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Section: Introductionmentioning

confidence: 99%