Novel repulsive magnetic bearing flywheel system with composite adaptive control

Başaran, Sinan; Sivrioğlu, Selim

doi:10.1049/iet-epa.2018.5312

Cited by 12 publications

(4 citation statements)

References 23 publications

(35 reference statements)

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“…The control link plays a vital role in the entire magnetic bearing system, and the performance of the magnetic bearing also depends on the performance of the control system [103]. With the advantages of wide application range, simple structure, and convenient debugging, the PID control method was first applied to the control link of magnetic bearings [13,104,105]. With the advancement of modern control theory and technology, people's requirements for the accuracy and stability of the magnetic bearing system are gradually increasing [106,107].…”

Section: Control Strategymentioning

confidence: 99%

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: Control Strategymentioning

confidence: 99%

Magnetic Bearing: Structure, Model and Control strategy

Huang,

Li,

Zhou

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…The motor combines magnetic bearing and motoring functionalities into a single actuator. Basaran et al [106] present radial repulsive magnetic bearings that reduce power consumption with less complexity. Andriollo et al [107] discuss an integrated, axial hybrid magnetic bearing with a steel flywheel.…”

Section: Compact and Integrated Fessmentioning

confidence: 99%

A review of flywheel energy storage systems: state of the art and opportunities

Palazzolo

2022

Journal of Energy Storage

165

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“…Giap et al, (2020) utilized Mamdani FIS to create a fuzzy sliding mode control (FSMC) to minimise the disturbance effect on AMB system [18]. Other than fuzzy logic-based control some other control strategies [19][20][21][22][23][24][25][26][27] are listed in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Modelling, simulation and performance comparison of different membership functions based fuzzy logic control for an active magnetic bearing system

Gupta

Biswas⃰

Aljafari

et al. 2023

The Journal of Engineering

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In-house prototype model of an active magnetic bearing is built and using its physical parameter values a linearized transfer function of order two, is mathematically obtained for a specific point of operation. In this work, a closed loop active magnetic bearing system is proposed and controller for this closed loop is designed using fuzzy logic control. Two different fuzzy inference systems: Mamdani and Sugeno fuzzy inference system constructed individually with eleven different types of membership functions separately. The considered membership functions are-linear, generalized bell-shaped, Gaussian distribution based, quadratic, cubic polynomial and sigmoidal curve-based membership functions. Calculating the transient state and steady state parameter values together with the controller output allows to see how these various membership functions perform on the proposed closed loop active magnetic bearing system. Observed data shows that changing the fuzzy inference system for a specific membership function will result in 67.41% reduction in the overshoot value, 29.70% reduction in settling time value, 10.42% change in rise time value and 2.91% variation is peak time value. Practicality of all membership functions are analysed based on calculated data and their performances with the proposed model.

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Novel repulsive magnetic bearing flywheel system with composite adaptive control

Cited by 12 publications

References 23 publications

Magnetic Bearing: Structure, Model and Control strategy

Magnetic Bearing: Structure, Model and Control strategy

A review of flywheel energy storage systems: state of the art and opportunities

Modelling, simulation and performance comparison of different membership functions based fuzzy logic control for an active magnetic bearing system

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