Loss Calculation and Thermal Analysis of Rotors supported by Active Magnetic Bearings for High-speed Permanent Magnet Electrical Machines

Huang, Ziyuan; Fang, Jiancheng; Liu, Xiquan; Han, Bangcheng

doi:10.1109/tie.2015.2500188

Cited by 158 publications

(77 citation statements)

References 19 publications

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“…Conventionally, PM machine iron loss can be predicted by the Bertotti iron loss model [7] with an improvement to account for the rotational flux [8]- [10]. The iron loss of an interior PMSM under a flux-weakening region is studied in [11] by employing variable iron loss coefficients.…”

Section: Introductionmentioning

confidence: 99%

Power Loss and Thermal Analysis of a MW High-Speed Permanent Magnet Synchronous Machine

Zhang

McLoone

Cao

et al. 2017

IEEE Trans. Energy Convers.

107

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Abstract--High speed permanent magnet synchronous machines (PMSMs) have attracted much attention due to their high power density, high efficiency, and compact size for directdrive applications. However, the consequent power loss density is high, and hence heat dissipation is a major technical challenge. This is particularly the case for high-speed operation. In this paper, a MW level high speed PMSM is designed and its electromagnetic and mechanical power losses comprehensively investigated using finite element analysis. The transient machine demagnetization performance is studied, and a composite rotor structure is proposed to improve machine anti-demagnetization capability. The temperature distribution of the proposed high speed PMSM is also analyzed using a fluid-thermal coupling method with calculated power loss. Experiments conducted on a prototype of the high speed PMSM demonstrate the effectiveness of the numerical models developed and validate the results obtained.Index Terms--Demagnetization, finite element method, high speed PM machine, magnetic field, power loss, thermal analysis.

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Section: Introductionmentioning

confidence: 99%

Power Loss and Thermal Analysis of a MW High-Speed Permanent Magnet Synchronous Machine

Zhang

McLoone

Cao

et al. 2017

IEEE Trans. Energy Convers.

107

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“…where i is the current in the winding, and R is the resistance of the windings; The iron core loss consists of hysteresis loss and eddy-current loss [28,29].…”

Section: Loss Analysis Of Motormentioning

confidence: 99%

System Electromagnetic Loss Analysis and Temperature Field Estimate of a Magnetically Suspended Motor

Ren¹,

Le²,

Han³

2017

PIER M

Self Cite

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Abstract-A magnetically suspended permanent-magnet motor (MSPMM) system mainly consists of magnetic bearings (MBs), a motor and a rotor assembly. This paper focuses on the system analysis of an MSPMM used for a vacuum turbo-molecular pump (TMP). To ensure a normal levitation and rotation, characteristics of electromagnetic field of MBs and motor are studied. For MSPMM, loss is the main heat source. To ensure the safe and steady operation of MSPMM, loss of the MB and motor are calculated and analyzed by finite element method (FEM). For thermal aspects, temperature field is estimated. Based on these analyses, the system performance can be predictive. Considering the poor heat dissipation conditions in a vacuum environment, this system analysis including loss and temperature field is of great value for MSPMM design.

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“…Magnetic suspension bearing is a new type of support technology that uses non-contact magnetic force to stably suspend the rotor, and it has the advantages of no mechanical contact, no friction, no lubrication, long life, etc. [1][2][3]. It is widely used in satellite attitude control, flywheel energy storage [4,5], aerospace, high-speed machine tools, and vacuum ultra-clean [6].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization Design of Magnetic Bearing Based on Genetic Particle Swarm Optimization

Sun¹,

Yin²,

Ye³

et al. 2019

PIER M

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The performance of magnetic bearing is determined by its electromagnetic parameters and mechanical parameters. In order to improve the performance of hybrid magnetic bearing (HMB) to better meet the engineering requirements, which needs to be optimized, a multi-objective optimization method based on genetic particle swarm optimization algorithm (GAPSO) is proposed in this paper to solve the problem that the optimization objectives are not coordinated during the optimization design. By introducing the working principle of HMB, a mathematical model of suspension force is established, and its rationality is verified by the finite-element method. By optimization, the suspension force of the HMB is increased by 18.5%, and the volume is reduced by 22%. The optimization results show that the multi-objective optimization algorithm based on GAPSO can effectively improve the performance of HMB.

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Loss Calculation and Thermal Analysis of Rotors supported by Active Magnetic Bearings for High-speed Permanent Magnet Electrical Machines

Cited by 158 publications

References 19 publications

Power Loss and Thermal Analysis of a MW High-Speed Permanent Magnet Synchronous Machine

Power Loss and Thermal Analysis of a MW High-Speed Permanent Magnet Synchronous Machine

System Electromagnetic Loss Analysis and Temperature Field Estimate of a Magnetically Suspended Motor

Multi-Objective Optimization Design of Magnetic Bearing Based on Genetic Particle Swarm Optimization

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