Magnetic characteristics modelling for regular Switched Reluctance Machines: Analytical and FEM approaches

Lobato, P.; Rafael,; Santos, Paulo; Pires, A. J.

doi:10.1109/powereng.2009.4915222

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Owing to the double salient structure and the saturation characteristic (Lobato et al , 2009), the SRM shows a nonlinear behavior and the accurate model of the SRM is difficult to establish. The inductance profile is the basis for the control of motors and it has great influence on the performance evaluation (Sun et al , 2016a, 2016b; Shi et al , 2019; Sun et al , 2018a, 2018b; Gan et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

An effective method of verifying poles polarities in switched reluctance motors

Han

Liu

Sun

et al. 2019

COMPEL

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Purpose This paper aims to propose an effective method to verify poles polarities of switched reluctance motors (SRMs). Different from the ways of detection poles polarities by permanent magnet in SRMs, the difference of self-inductance between different winding connections is used to verify the pole polarity. Design/methodology/approach First, the winding connections with the forward and reverse series are proposed. The magnetic circuit models are established to analyze the flux linkage of different winding connections. Then, according to the difference of inductance characteristics, including the self-inductance and the mutual inductance affected by the adjacent poles, it is theoretically feasible to verify the polarity of each pole. Finally, the proposed method is verified by the simulation and experiment on a six-phase SRM. Findings First, compared to the reverse series, the forward series can produce larger self-inductance when one phase is excited at the same current excitation, which can be used to verify the poles polarities of one phase with different winding connection. Second, the mutual inductance can be used to distinguish the winding connections. Third, the difference of the maximum self-inductance of the winding, which is composed of two adjacent windings, can be used to verify the polarities of the adjacent poles. Originality/value This paper proposes an effective method to verify poles polarities of SRMs.

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Section: Introductionmentioning

confidence: 99%

An effective method of verifying poles polarities in switched reluctance motors

Han

Liu

Sun

et al. 2019

COMPEL

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“…However, the calculation process is too complex. FEM [3,4] is widely accepted by many researchers. However, the geometry parameters and material properties are sometimes difficult to be obtained.…”

Section: Introductionmentioning

confidence: 99%

Accurate model of switched reluctance motor based on indirect measurement method and least square support vector machine

Zhong

Cao

et al. 2016

IET Electric Power Applications

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The accurate model of switched reluctance motor (SRM) is critical for performance prediction. However, due to the doubly salient structure, the flux linkage of SRM is a non-linear function with phase current and rotor position, which makes the determination of the characteristic of SRM very difficult. In this study, indirect measurement method is used to obtain the sample data and least square support vector machine (LSSVM) is used for the prediction of flux linkage. First, the basic principles of indirect measurement and the exact methods of realisation are presented. Second, the errors in the indirect measurements are analysed and post-processing is given to reduce them. Third, the entire static electromagnetic characteristics are obtained by the prediction of improved LSSVM. The results are compared with those of using artificial neural network and those of using less training data by LSSVM, which shows both strong learning ability and generalisation ability. Finally, a simulation model is built up using MATLAB/Simulink and the results are compared between simulation and measurement. The good agreement shows that the proposed model has good accuracy. In addition, the LSSVM does not need any prior knowledge which is much easier for modelling than the existing literatures.

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“…Powrózek methods: computational [3,4] or measurement [5,6]. A suitable solution is to obtain flux characteristics by field calculations and then tabulate them and use in circuit model of the machine [8].…”

mentioning

confidence: 99%

Control methods analysis of switched reluctance machine

Powrózek

2013

ZN PRz Elektrotechnika

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The paper presents results of simulation studies of four-phase 8/6 Switched Reluctance Machine working in steady-state. Simulation model of the machine was developed in Matlab/Simulink based on mathematical model. Simulation model was realized based on SimPowerSystems library, which contains for example models of semiconductor elements or power supplies. Controllable current sources and voltage measurement blocks were also used. Mathematical description of the machine is difficult to obtain in nonlinear circuit simulation models. Nonlinear flux characteristics ψ(θ, i) were obtained by field calculations and then were tabulated and used in circuit model of the machine. Studies were concerned the change of working point influence of motor on basic parameters especially on electromagnetic torque with various basic control methods (current control: soft-chopping and hard-chopping, voltage control: soft and hard, and one-pulse control). In current control was only used hysteresis regulator which held phase current at a certain level. Current control is possible to base speed, voltage control with its particular case called single-pulse control has wider use because it can be used above base speed, but for high-speed operation single-pulse control is used.

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Magnetic characteristics modelling for regular Switched Reluctance Machines: Analytical and FEM approaches

Cited by 5 publications

References 4 publications

An effective method of verifying poles polarities in switched reluctance motors

An effective method of verifying poles polarities in switched reluctance motors

Accurate model of switched reluctance motor based on indirect measurement method and least square support vector machine

Control methods analysis of switched reluctance machine

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