Improving Operational Performance of Magnetically Suspended Flywheel With PM-Biased Magnetic Bearings Using Adaptive Resonant Controller and Nonlinear Compensation Method

Su, Zhenzhong; Wang, Dong; Chen, Junquan; Zhang, Xianbiao; Wu, Leitao

doi:10.1109/tmag.2016.2517413

Cited by 17 publications

(5 citation statements)

References 5 publications

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“…In FESS research, the axial flux permanent-magnet motor (AFPMM) has been studied extensively. Notable investigations have explored the design of an oil-immersed cooling stator with concentrated non-overlapping windings, 3D finite element method (FEM) analyses of the back electromotive force, ultra-high-speed AFPMM designs, and the impact of the tilt angle of the PMs on cogging torque and axial force [30,41,42]. Numerous innovative designs have been proposed for PMSMs for FESSs.…”

Section: Permanent-magnet Motors For Flywheel Energy Storage Systemsmentioning

confidence: 99%

A Review of Flywheel Energy Storage System Technologies

Xu,

Guo,

Lei

et al. 2023

Energies

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The operation of the electricity network has grown more complex due to the increased adoption of renewable energy resources, such as wind and solar power. Using energy storage technology can improve the stability and quality of the power grid. One such technology is flywheel energy storage systems (FESSs). Compared with other energy storage systems, FESSs offer numerous advantages, including a long lifespan, exceptional efficiency, high power density, and minimal environmental impact. This article comprehensively reviews the key components of FESSs, including flywheel rotors, motor types, bearing support technologies, and power electronic converter technologies. It also presents the diverse applications of FESSs in different scenarios. The progress of state-of-the-art research is discussed, emphasizing the use of artificial intelligence methods such as machine learning, digital twins, and data-driven techniques for system simulation, fault prediction, and life-assessment research. The article also addresses the challenges related to current research and the application of FESSs. It concludes by summarizing future directions and trends in FESS research, offering valuable information for further advancement and improvement in this field.

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Section: Permanent-magnet Motors For Flywheel Energy Storage Systemsmentioning

confidence: 99%

A Review of Flywheel Energy Storage System Technologies

Xu,

Guo,

Lei

et al. 2023

Energies

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“…wheref(x) is the estimated value of f(x); K = k p k d ½ T ; and K makes roots of polynomial s 2 + k d s + k p = 0 located in left half complex plane. We assumef(x) is equal to f(x) and substituting equation (10) into equation 8 In equation (11), if t ! ', then e(t) !…”

Section: Control Design Of the Conical Mb Rotor Systemmentioning

confidence: 99%

“…Aiming at the nonlinearity of AMB system, various nonlinear control methods are proposed. Su et al 10 proposed a nonlinear compensator. Dong and You 11 applied the adaptive back stepping control and adaptive observer-based back stepping control considering system uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural network control for rotor’s stable suspension of Vernier-gimballing magnetically suspended flywheel

Tang

Zhao

Wang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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Vernier-gimballing magnetically suspended flywheel with conical hybrid magnetic bearing can produce gyro moment by tilting the rotational rotor around a certain radial direction. When rotor is tilted, the nonlinear variation of conical magnetic bearing’s displacement stiffness and the coupling interference can result in not only poor stability of suspension control system but also precision’s degradation of gyro moment. To solve these two problems, the forces acting on tilted rotor are analyzed, and furthermore, a nonlinear model considering variation of displacement stiffness is constructed accordingly, then a radial basis function neural network is utilized to estimate the nonlinear variation of displacement stiffness and disturbance, and the adaptive controller with nonlinear variation compensation is presented based on the Lyapunov stability theory. Compared with cross-feedback method in tilting control and proportional–integral–derivative method in translation control, simulation researches are done, and the results indicate that the presented control method does well in estimating nonlinear variation and has better performances on suspension control when rotor is tilted.

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“…Magnetized rings have also been stacked [15], which reduces the radial stiffness, and also extended to Halbach type structures, where the axial force and stiffness have been calculated for a range of configurations [9,16]. The active magnetic bearing that maintains the equilibrium position of the passive bearing has also been intensively investigated [17,18,19,20].…”

Section: Introductionmentioning

confidence: 99%

A Passive Permanent Magnetic Bearing With Increased Axial Lift Relative to Radial Stiffness

et al. 2021

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Improving Operational Performance of Magnetically Suspended Flywheel With PM-Biased Magnetic Bearings Using Adaptive Resonant Controller and Nonlinear Compensation Method

Cited by 17 publications

References 5 publications

A Review of Flywheel Energy Storage System Technologies

A Review of Flywheel Energy Storage System Technologies

Adaptive neural network control for rotor’s stable suspension of Vernier-gimballing magnetically suspended flywheel

A Passive Permanent Magnetic Bearing With Increased Axial Lift Relative to Radial Stiffness

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