Adaptive robust control of active magnetic bearings rigid rotor systems

Xu, Yuhao; Wang, Xiaoyuan; Liu, Mingxin; Li, Na; Tian, Yu

doi:10.1007/s43236-022-00578-9

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…The decoupling control effect of ADRC-BP is better than that of conventional ADRC. Xu et al [187] proposed an adaptive H-infinite robust control (AHRC) method for a magnetic bearing rigid rotor system. This method combines ADRC with robust control.…”

Section: Amplitude Variation Under Sinusoidal Interferencementioning

confidence: 99%

“…Mushi et al [197] and others designed a μ-synthesis controller for the maglev rotor system affected by the aerodynamic load, and selected the corresponding weighting function according to the actual engineering experience. Xu et al [187] used the multi-objective non-dominated sorting genetic algorithm II (NSGA-II) to obtain the relative optimal weighting function value of H∞ robust control. Ran et al [196] used a neural network identification method based on confidence intervals to evaluate the uncertainty boundary for the weight function selection problem, and designed a controller for dealing with μ-synthesis control.…”

Section: Robust Controlmentioning

confidence: 99%

“…a Simulation of the fuzzy ADRC and ADRCwhen the rotor is disturbed[67]. b Suspension/Static/Dynamic characteristics of robust controllers[187]…”

mentioning

confidence: 99%

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Magnetic Bearing: Structure, Model and Control strategy

Huang,

Li,

Zhou

et al. 2023

Preprint

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Bearings are crucial transmission components that offer support to mechanical rotating bodies. Nevertheless, traditional bearing failure due to friction and wear more easily. In scenarios involving ultra-high speeds and extreme applications, minimizing bearing losses and enhancing performance becomes especially vital. Magnetic bearings, characterized by zero friction, no need for lubrication, and high-speed capabilities, offer a viable solution to the issue of bearing failure attributed to friction. However, there is currently a shortage of comprehensive review literature that delves into the structural attributes, modeling mechanisms, and control strategies of magnetic bearings. This article will perform a comprehensive literature review on magnetic bearings, addressing the aforementioned aspects and discussing their core technologies. Firstly, from the perspective of classification and magnetic circuit structure analysis, the properties and characteristics of various magnetic bearings are discussed. Secondly, the working principle and performance of mathematical models of magnetic bearings with different structures are described, and the modeling steps and optimization schemes are summarized. Furthermore, the influence of control strategy of magnetic bearing on the control performance of magnetic bearing is summarized. Compared to PID control, modern control theory has achieved a performance improvement of nearly 50% in terms of improved position accuracy and adjustment time. Finally, the current research progress on magnetic bearings is summarized, and the current bottleneck issues are anticipated. This review contributes to a deeper understanding of the action mechanism and control method of magnetic levitation bearing, thus promoting the progress of magnetic levitation bearing technology.

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Section: Amplitude Variation Under Sinusoidal Interferencementioning

confidence: 99%

Section: Robust Controlmentioning

confidence: 99%

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Magnetic Bearing: Structure, Model and Control strategy

Huang,

Li,

Zhou

et al. 2023

Preprint

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show abstract

“…An approach based on multi-objective control is presented in [27] for preserving the performance even in the presence of faults. Innovative control strategies for active magnetic bearing devices can also be found in [28][29][30], where adaptive H-infinity control is adopted for improving speed tracking in the presence of uncertainties [28]. Swarm-based optimization is used to self-tune a PID controller, improving the transient performance [29], and hybrid repetitive control is considered to mitigate harmonic vibrations [30].…”

mentioning

confidence: 99%