Nonlinear Adaptive Harmonics Vibration Control for Active Magnetic Bearing System With Rotor Unbalance and Sensor Runout

Zhang, Huijuan; Liu, Jianjuan; Zhu, Ruipu; Chen, Hongmei; Yuan, Hang

doi:10.1109/jsen.2021.3066122

Cited by 15 publications

(2 citation statements)

References 34 publications

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“…During AMB operation, disturbances such as rotor unbalance and displacement sensor runout [13], might produce vibration whose frequency is the rotating speed OJ, or k (assuming that k = 1 to n) times that of OJ,. Thus in the whole speed range, disturbances' frequencies might be between OJ, [min] and nm, [max] To simplify, replace…”

Section: Pi Controller Amplifier Current Sen Sormentioning

confidence: 99%

Vibration Suppression for Active Magnetic Bearings Using Adaptive Filter with Iterative Search Algorithm

Ye,

Shi,

et al. 2024

Trans. Electr. Mach. Syst.

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Active Magnetic Bearing (AMB) is a kind of electromagnetic support that makes the rotor movement frictionless and can suppress rotor vibration by controlling the magnetic force. The most common approach to restrain the rotor vibration in AMBs is to adopt a notch filter or adaptive filter in the AMB controller. However, these methods cannot obtain the precise amplitude and phase of the compensation current. Thus, they are not so effective in terms of suppressing the vibrations of the fundamental and other harmonic orders over the whole speed range. To improve the vibration suppression performance of AMBs, an adaptive filter based on Least Mean Square (LMS) is applied to extract the vibration signals from the rotor displacement signal. An Iterative Search Algorithm (ISA) is proposed in this paper to obtain the corresponding relationship between the compensation current and vibration signals. The ISA is responsible for searching the compensating amplitude and shifting phase online for the LMS filter, enabling the AMB controller to generate the corresponding compensation force for vibration suppression. The results of ISA are recorded to suppress vibration using the Look-Up Table (LUT) in variable speed range. Comprehensive simulations and experimental validations are carried out in fixed and variable speed range, and the results demonstrate that by employing the ISA, vibrations of the fundamental and other harmonic orders are suppressed effectively.

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Section: Pi Controller Amplifier Current Sen Sormentioning

confidence: 99%

Vibration Suppression for Active Magnetic Bearings Using Adaptive Filter with Iterative Search Algorithm

Ye,

Shi,

et al. 2024

Trans. Electr. Mach. Syst.

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show abstract

“…Darbandi et al (Darbandi et al, 2017) proposed an improved notch filter to identify constant and harmonic disturbances caused by sensor runout and mass unbalance and verified the effectiveness of the control method through simulation and experiment. Zhang et al (Zhang et al, 2021) proposed a nonlinear adaptive algorithm to suppress the harmonic vibration of the rotor caused by the sensor runout, and Lyapunov's theory guaranteed its asymptotic stability. Then, they proposed a novel parallel finite dimension repetitive controller to restrain the harmonic current (Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Influence of displacement sensor runout on active magnetic bearing-rotor system and control analysis

Jian

Cheng

2023

Journal of Vibration and Control

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In the active magnetic bearing (AMB)-rotor system, a displacement sensor is one of the indispensable components. It detects the displacement of the rotor in real time and feeds back to the control system to realize the stable suspension of the rotor. However, due to electromagnetic interference, unstable power supply, poor grounding, and uneven rotor surface, the signal runout of the displacement sensor can often occur, resulting in rotor vibration. Given the above problems, this paper establishes the control model of the AMB-rotor system, lists three typical sensor runout signals, then analyzes the influence of different types of sensor runout on the system, and discusses the control methods under different sensor runout conditions. The research results have a specific guiding significance for vibration control of the maglev rotor under sensor runout influence.

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Modal analysis and multidisciplinary optimization of disk-shaped rotor in MSCMG

Zhang

Tang

2022

International Journal of Mechanical Sciences

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Nonlinear Adaptive Harmonics Vibration Control for Active Magnetic Bearing System With Rotor Unbalance and Sensor Runout

Cited by 15 publications

References 34 publications

Vibration Suppression for Active Magnetic Bearings Using Adaptive Filter with Iterative Search Algorithm

Vibration Suppression for Active Magnetic Bearings Using Adaptive Filter with Iterative Search Algorithm

Influence of displacement sensor runout on active magnetic bearing-rotor system and control analysis

Modal analysis and multidisciplinary optimization of disk-shaped rotor in MSCMG

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