Stiffness Compensation Control for Centrifugal Compressors Based on Online Parameter Identification of Magnetic Bearings

Ma, Wenyue; Liu, Gang; Le, Yun; Zheng, Shiqiang

doi:10.1109/tie.2022.3213911

Cited by 5 publications

(1 citation statement)

References 28 publications

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“…Aiming at the influence of displacement stiffness force of magnetic bearing on the control system, scholars at home and abroad have provided various compensation methods, and the most popular one is the feedforward compensation method [3]. Wei et al proposed an automatic magnetic bearing balancing method based on displacement stiffness force feedforward compensation, introducing a simplified inverse model of the amplifier to correct the feedforward compensation [4]Sun et al proposed a VALC-based vibration compensation strategy to suppress the influence of the unbalance force on the control system [5].Ma et al proposed an on-line parameter identification of displacement stiffness force compensation scheme, which ensures the magnetic bearing rotor stable operation under high temperature environment [6]. To address the problem of harmonic component suppression in the displacement signal.…”

Section: Introductionmentioning

confidence: 99%

Magnetic bearing displacement stiffness force feed-forward compensation method considering harmonic disturbance

Fan,

Sun,

Bai

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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During the operation of the magnetic bearing , there is an unbalanced component in the displacement signal at the same frequency as the rotational speed, which produces the displacement stiffness force of the same frequency of speed to affect the performance of the control system, so it is necessary to suppress the magnetic bearing displacement stiffness force. Due to the influence of displacement sensor runout and the nonlinear characteristics of magnetic bearings, there is also a speed multiplication component in the displacement signal, and in view of the above problems, a feed-forward compensation method for magnetic bearing displacement stiffness force considering harmonic disturbance is proposed, and the speed multiplication component in the displacement signal is suppressed by a second-order generalized integrator with feedback coefficient in series, and the displacement stiffness force is compensated in real time by the feed-forward compensation method. The simulation results show that this method can effectively reduce the influence of the harmonic disturbance on the displacement stiffness compensation in the displacement signal, and effectively improve the compensation accuracy of the displacement stiffness force.

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Section: Introductionmentioning

confidence: 99%

Magnetic bearing displacement stiffness force feed-forward compensation method considering harmonic disturbance

Fan,

Sun,

Bai

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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A recurrent neural network‐based rotor displacement estimation method for eight‐pole active magnetic bearing

Fan,

Liu,

Wang

et al. 2024

IET Electric Power Appl

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Active magnetic bearing (AMB) is a key technology in high‐speed rotating machines for rotor suspension, where the displacement sensors play a crucial role in detecting and controlling the rotor position. However, the traditional displacement sensors have the problems of high cost, large volume and poor reliability. To solve these problems, this paper proposes an innovative solution that utilises a recurrent neural network (RNN) to estimate the rotor displacement from the current in the AMB controller. The proposed method offers high‐quality prediction performance for the rotor displacement which is close to the high precision eddy current displacement sensors. The mathematical model of AMB is analysed to provide guidance in historical current data acquisition and design of RNN. The input dimensions and the architecture of the neural network are optimised to improve both prediction accuracy and computational complexity. Experimental results validate the effectiveness of the algorithm and demonstrate that the proposed method has high accuracy, robustness and generalisation ability.

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Electromagnetic Part of the Mathematical Model for Simulating Processes in the Mechatronic System “Rotor in Active Magnetic Bearings”

Martynenko,

Martynenko

2023

2023 IEEE 4th KhPI Week on Advanced Technology (KhPIWeek)

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Stiffness Compensation Control for Centrifugal Compressors Based on Online Parameter Identification of Magnetic Bearings

Cited by 5 publications

References 28 publications

Magnetic bearing displacement stiffness force feed-forward compensation method considering harmonic disturbance

Magnetic bearing displacement stiffness force feed-forward compensation method considering harmonic disturbance

A recurrent neural network‐based rotor displacement estimation method for eight‐pole active magnetic bearing

Electromagnetic Part of the Mathematical Model for Simulating Processes in the Mechatronic System “Rotor in Active Magnetic Bearings”

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