Adaptive notch filter based on Lorentz force magnetic bearing for the suppression of imbalance vibration

Xia, Changliang; Cai, Yuanwen; Ren, Yuan; Yu, Chunmiao; Shan, Shangqiu

doi:10.1088/1742-6596/1168/2/022086

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…Other main solutions include designing a notch filter to filter the unbalanced displacement signal detected by the sensor, or designing a compensator to compensate the unbalanced vibration of the rotor, so as to make the rotor run in balance (Ukasz et al, 2021;Zheng and Feng, 2016). Xia et al (2019) proposed an adaptive notch filter (ANF) based on Lorentz force magnetic bearing (LFMB) to plug into the LFMB-rotor controller to eliminate synchronous disturbance. Chen et al (2015Chen et al ( , 2017 presented a novel modified ANF with phase shift in the active magnetic bearings (AMBs) system to suppress the unbalance vibration without angular velocity information in their article.…”

Section: Introductionmentioning

confidence: 99%

“…Xia et al (2019) proposed an adaptive notch filter (ANF) based on Lorentz force magnetic bearing (LFMB) to plug into the LFMB-rotor controller to eliminate synchronous disturbance. Chen et al (2015, 2017) presented a novel modified ANF with phase shift in the active magnetic bearings (AMBs) system to suppress the unbalance vibration without angular velocity information in their article.…”

Section: Introductionmentioning

confidence: 99%

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Unbalanced vibration control of active magnetic bearing using an active disturbance rejection notch decoupling technique

2023

Journal of Vibration and Control

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Aiming at the position coupling, gyroscopic effect, and synchronized vibration caused by the unbalance mass in the magnetic bearing rotor, a linear active disturbance rejection notch decoupling control method is proposed. Firstly, a model with coupling and unbalanced vibration of the system was established. The terms of position coupling, gyroscopic effect, and unbalanced vibration in the system are estimated by Extended State Observer and the estimator is treated as the system disturbance to be compensated, then the radially existing coupled and unbalanced vibration systems are decoupled into four independent second-order series-integrated subsystems. The nonlinear state error feedback control law is designed to implement the decoupling control of each subsystem. For the problem of unbalanced vibration of the rotor after decoupling, the suppression method of the dynamic unbalanced force of the same frequency notch filter is designed, and then the closed-loop feedback structure of the new method is deduced, and its frequency characteristics are analyzed. Then the rules and principles of controller parameter selection are summarized using Bode diagram. The simulation results show that the designed linear active disturbance rejection notch decoupling controller not only achieves the decoupling control of the respective degrees of the magnetic bearing rotor but also suppresses the unbalanced vibration of the rotor. At the same time, it solves the influence of the gyroscopic effect on the control under the high-speed running of the magnetic bearing rotor.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unbalanced vibration control of active magnetic bearing using an active disturbance rejection notch decoupling technique

2023

Journal of Vibration and Control

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“…Nevertheless, the MEMS accelerometer carries undesirable noise which may cause the deterioration in dynamic responses [24]. Previously, various filtering techniques are used to improve the feedback signals as well as to reduce the effect of undesired noises [25,26]. To avoid the difficulty regarding noises carried by the MEMS accelerometers, this work uses the Kalman filter (KF) to estimate the acceleration using direct measured acceleration and system inputs; this estimated signal is supposed to be used for the acceleration feedback.…”

Section: Introductionmentioning

confidence: 99%

Vibration Isolation System with Kalman Filter Estimated Acceleration Feedback: An Approach of Negative Stiffness Control

et al. 2021

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This paper presents the isolation of vibration through the acceleration feedback of the Kalman filter. In this paper, vibration isolation was analyzed both analytically and experimentally through the estimation of the Kalman filter (KF). A negative stiffness mechanism was used to reduce the level of vibration for the developed dynamic system. The technique of negative stiffness can provide stiffness of infinite level to low stiffness as well as disturbance generated by the ground vibration directly. The performance of an isolation system through a mechanism of negative stiffness was improved by the addition of acceleration feedback. Acceleration was measured using a microelectromechanical (MEMS) type accelerometer instead of traditional servo type accelerometers due to lower cost. However, the output of a microelectromechanical (MEMS) type accelerometer is usually noisy. To avoid this difficulty, an acceleration that was estimated by a Kalman filter was considered in the acceleration feedback instead of directly measured acceleration. The dynamic behaviors of the system were compared for both the Kalman-filtered acceleration and the directly measured acceleration feedback. It is observed that the former has a significant effect on the improvement of the characteristics of the vibration isolation systems than later.

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Adaptive notch filter based on Lorentz force magnetic bearing for the suppression of imbalance vibration

Cited by 2 publications

References 3 publications

Unbalanced vibration control of active magnetic bearing using an active disturbance rejection notch decoupling technique

Unbalanced vibration control of active magnetic bearing using an active disturbance rejection notch decoupling technique

Vibration Isolation System with Kalman Filter Estimated Acceleration Feedback: An Approach of Negative Stiffness Control

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