Torque analytical model of switched reluctance motor considering magnetic saturation

Hao, Yi; Wang, Xilian; Cui, Ruizhen; Fang, Xikui; Zhang, Wei; Li, Yanhua; Cheng, Di

doi:10.1049/iet-epa.2019.0987

Cited by 11 publications

(8 citation statements)

References 23 publications

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“…The Fourier series has the most significant advantage, in which the torque model may be determined mathematically from the flux linkage model. The flux linkage model can be expressed using the Fourier series as (2) [24], [34].…”

Section: Curve-fitting Methods (Cfm)mentioning

confidence: 99%

“…The difficulty increases when the volume mesh is applied to a small dimension. A high level of mesh refinement is required for specific locations in the air gap region of electric machines and results in a large number of high-resolution elements [8], [24]. Furthermore, the accuracy of field solution is directly proportional with the number of elements in simulations [22], [25].…”

Section: Finite Element Analysis (Fea)mentioning

confidence: 99%

“…The T-Ω (electric vector potential-magnetic scalar potential) formulation can enhance FEA speed [15], [14], [23], [26]. In addition, the domain decomposition method (DDM) is utilized to improve the efficiency of electrical machines [20], [24]. Thus, parallel computing technologies that utilize several processors to significantly reduce total simulation time are used to solve subdomain problems concurrently [16], [20].…”

Section: Finite Element Analysis (Fea)mentioning

confidence: 99%

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Modelling methods and structure topology of the switched reluctance synchronous motor type machine: a review

Abdulah

Shukor

Othman

et al. 2023

IJPEDS

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The switched reluctance synchronous motors (SRSM) have been utilised as replacements for induction motors (IM) and permanent magnet synchronous motors (PMSM). The SRSM is a feasible solution for electric motors because of its robust and straightforward structure, resulting in low maintenance, manufacturing, and operating costs. However, the SRSM has several flaws, including low mean torque, low torque density and excessive torque ripples. The SRSM performance can be improved by considering the structure topology and driving system. This paper reviewed the performance characteristic of SRSM based on the structural topology. Several literature studies on the segmented structure topologies of SRSM were compared with the conventional structures. The performance of the SRSM can be estimated by using either numerical or analytical methods. The FEA and BEM are numerical techniques extensively used to optimise electrical motor performance. Although the numerical method can accurately estimate motor performance, the significant drawback is quite complicated, time-consuming, and difficult to implement the control algorithm with FEA software. However, the analytical method, especially the MEC method, is faster in evaluating motor performance and significantly reduces computational complexity, either with or without solving high-dimensional system matrices.

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Section: Curve-fitting Methods (Cfm)mentioning

confidence: 99%

Section: Finite Element Analysis (Fea)mentioning

confidence: 99%

Section: Finite Element Analysis (Fea)mentioning

confidence: 99%

See 1 more Smart Citation

Modelling methods and structure topology of the switched reluctance synchronous motor type machine: a review

Abdulah

Shukor

Othman

et al. 2023

IJPEDS

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“…where i mb is the main winding current of B phase, d is the equivalent length of ferromagnetic material flux path including the length of rotor pole d r , the length of stator pole d s and compensation coefficient δ [16],…”

Section: Derivation Of Torque Analytical Modelmentioning

confidence: 99%

“…In saturated conditions, the magnetic field intensity in the ferromagnetic material H s is considered as shown in Figure 3. The relationship between the magnetic field intensity and the magnetomotive force is

H_{m 4} g_{0} + H_{s 4} false(d - g_{0} false) = N_{b} i_{m b} + N_{y} i_{y},

H_{f 4} l_{f} + H_{s 4} false(d - l_{f} false) = N_{b} i_{m b} + N_{y} i_{y},

where i mb is the main winding current of B phase, d is the equivalent length of ferromagnetic material flux path including the length of rotor pole d r , the length of stator pole d s and compensation coefficient δ [16],

d = d_{normalr} + d_{normals} + δ,

and from the magnetic flux continuity law:

H_{m} = μ_{r} H_{s},

where μ r is the relative magnetic permeability of the steel sheet ferromagnetic material.…”

Section: Torque Analytical Modelmentioning

confidence: 99%

Torque analytical model and self‐decoupling characteristics analysis of a bearingless switched reluctance motor

Cui

Hao

Wang

et al. 2021

IET Power Electronics

Self Cite

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In this paper, a bearingless switched reluctance motor (BRSM) with sharing suspension windings, which simplifies the winding structure and reduces the complexity of the control circuit, is analysed. A torque analytical model is derived using the Maxwell stress tensor method, which provides better results, compared with the linear model in the magnetic saturated conditions. A finite element analysis (FEA) model of the prototype is built and used for comparison with the torque analytical model. The results show that the torque analytical model provides accurate results in the entire magnetic saturation region, which verify the feasibility of this model. In addition, the self-decoupling characteristics of this type of motor are illustrated using analytical model analysis, FEA and experimental analysis. The results indicate that BSRMs with sharing suspension windings can be flexibly controlled without using complex self-decoupling algorithms of conventional BSRMs. The presented work provides a theoretical basis for the control strategy. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Geometric design of electric motors using adjoint-based shape optimization

Scotzniovsky,

Xiang,

Cheng

et al. 2024

Optim Eng

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Interest in electric aircraft has increased due to developments in electric propulsion technology and concerns regarding aircraft carbon emissions. The emerging urban air mobility (UAM) industry aims to provide convenient short-range air travel using electric aircraft. An important factor in the design of electric aircraft is the modeling and design of electric motors. The many degrees of freedom in electric motor design makes it a complex design problem. To mitigate this complexity, we have developed a novel adjoint-based electric motor design methodology using finite-element electromagnetic analysis and PDE-based mesh warping with exact derivatives. This paper highlights the approach and details of the proposed method and presents results from its application to a representative motor design problem. The optimization results in a 35% decrease in motor mass and a 3% increase in efficiency in comparison to the baseline design. These results demonstrate the efficacy of an adjoint-based optimization approach with exact analytical derivatives for electric motor design.

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Torque analytical model of switched reluctance motor considering magnetic saturation

Cited by 11 publications

References 23 publications

Modelling methods and structure topology of the switched reluctance synchronous motor type machine: a review

Modelling methods and structure topology of the switched reluctance synchronous motor type machine: a review

Torque analytical model and self‐decoupling characteristics analysis of a bearingless switched reluctance motor

Geometric design of electric motors using adjoint-based shape optimization

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