Research on Fast Design of Key Variables of Bearingless Flux-Switching Motor Based on Variable Structure Magnetic Network

Zhou, Yangzhong; Fang, Fei; Zheng, Mengfei

doi:10.1109/tia.2018.2877187

Cited by 14 publications

(3 citation statements)

References 11 publications

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“…Design of different parameters like optimum tooth width, coupling of magnetic flux of winding and PM and optimum torque of HEFSM is challenging and time-consuming. In [15], a new variable structure magnetic network model method was proposed that greatly decreases the time necessary for HEFSM design. A consequent pole HEFSM was proposed in [19] with a flux bridge to prevent flux leakage from the stator.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of a Modular E-Shaped Stator Hybrid Excited Flux Switching Motor With Flux Gaps

et al. 2022

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This paper proposes a new modular hybrid excited flux switching motor (MHEFSM) with flux gaps, adding the fault-tolerant capability to the proposed motor. The proposed motor uses an E-Shaped stator, as the middle teeth of E-core produce fault-tolerant capability, and in C-core, this capability is eradicated. The no-load flux linkage is calculated by the magnetic network model (MNM) to reduce time and disk storage. The drawback of the constant flux linkage of PM motors is overcome by employing field excitation (FE). The FE helps in regulation flux at higher speeds. The motor leading geometry variables are optimized by using Genetic Global Optimization (GGO). The GGO helped in refining the structure of the motor and has improved the flux linkage by 68.18%, average torque and torque density by 62.35% each, reduced torque ripples by 20.62%, and cogging torque by 18.52%. The volume of permanent magnet (PM) in the proposed MHEFSM is reduced by 36.24%, and 48.49% higher average torque and torque density is obtained compared to the state of art motor proposed in the literature. Furthermore, a 3D analysis of the proposed MHEFSM is done to further evaluate the electromagnetic performance.INDEX TERMS Finite element analysis, flux gaps, modular stator, variable flux machine, genetic optimization.

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Section: Introductionmentioning

confidence: 99%

Performance Analysis of a Modular E-Shaped Stator Hybrid Excited Flux Switching Motor With Flux Gaps

et al. 2022

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“…To overcome the shortcomings of the FEA, scholars have proposed some analytical methods, including the magnetic equivalent circuit (MEC) method [17], relative permeance method [18], Schwarz-Christoffel transform method [19], and subdomain model method [20], [21]. Nevertheless, to authors' knowledge, there are only two literatures related to BFSPM machines.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, to authors' knowledge, there are only two literatures related to BFSPM machines. In [17], the magnetic field of BFSPM machines is analytically calculated by the MEC method. Although the modeling of the MEC method considers the magnetic saturation, but there are some problems in the magnetic equivalent circuit method, such as the complicated modeling process and long iterative calculation time.…”

Section: Introductionmentioning

confidence: 99%

Analytical Calculation of Electromagnetic Performances of Bearingless Flux-Switching Permanent-Magnet Machine Considering Iron Saturation Based on Exact Subdomain Model

Zhou

2019

IEEE Access

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In this paper, an accurate analytical subdomain model to calculate electromagnetic performances of bearingless flux-switching permanent magnet (BFSPM) machines is developed. The entire region of the machine is divided into six subdomains, including slots, air gap, magnets, and so on. According to the Neumann boundary conditions between the subdomains and the iron and the continuity conditions at the interface between the adjacent subdomains, the magnetic field distributions of subdomains are obtained by solving the Maxwell equations. In addition, a method to compensate the saturation effect is proposed, and the magnetic saturation of the stator and rotor is considered by the actual B-H characteristics. Based on the proposed analytical method, the air-gap flux density distributions of the machine with different iron material under linear and nonlinear conditions are predicted. Further, the electromagnetic performances including the cogging torque, electromagnetic torque, flux linkage, back-EMF, inductance, and suspension force are calculated. These analytical results are compared with those obtained by the Finite Element Analysis (FEA) to verify the accuracy of the proposed analytical method. INDEX TERMS Bearingless flux-switching machines, subdomain model, magnetic field distribution, magnetic saturation.

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Analytical calculation of magnetic field of bearingless flux‐switching permanent‐magnet machine based on doubly‐salient relative permeance method

Zhou

2020

IET Electric Power Applications

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A doubly-salient relative permeance method is presented herein to predict the magnetic field of bearingless fluxswitching permanent-magnet machines (BFSPMMs). Firstly, the subdomain model method is used to compute the magnetic field of slotless BFSPMMs. Then, the slotting effect of the stator and rotor is obtained by the doubly-salient relative permeance method. By combining the two above, the air-gap magnetic field of slotted BFSPMMs can be obtained. The doubly-salient relative permeance method is based on the theory of the subdomain model method. The whole doubly-salient structure is divided into several subdomains, and the Laplace equations for subdomains are established. Then, according to the boundary conditions between subdomains and the core, and the continuity conditions between adjacent subdomains, the equations are solved to calculate the slotting effect. Based on the proposed analytical model, the flux density and electromagnetic performances including back-electromotive force (EMF), torque, and suspension force are predicted and compared with the finite element method results. Furthermore, the back-EMF of the prototype motor is measured and the suspension experiments are carried out based on the analytical method. The comparison results and experiment results verify the validity of the analytical method.

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Research on Fast Design of Key Variables of Bearingless Flux-Switching Motor Based on Variable Structure Magnetic Network

Cited by 14 publications

References 11 publications

Performance Analysis of a Modular E-Shaped Stator Hybrid Excited Flux Switching Motor With Flux Gaps

Performance Analysis of a Modular E-Shaped Stator Hybrid Excited Flux Switching Motor With Flux Gaps

Analytical Calculation of Electromagnetic Performances of Bearingless Flux-Switching Permanent-Magnet Machine Considering Iron Saturation Based on Exact Subdomain Model

Analytical calculation of magnetic field of bearingless flux‐switching permanent‐magnet machine based on doubly‐salient relative permeance method

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