Advanced Dynamic Modeling of Three-Phase Mutually Coupled Switched Reluctance Machine

Dong, Jianning; Howey, Brock; Danen, Benjamin; Lin, Jixian; Jiang, James Weisheng; Bilgin, Berker; Emadi, Ali

doi:10.1109/tec.2017.2724765

Cited by 32 publications

(31 citation statements)

References 16 publications

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“…The procedure needs automatic parametric analysis and can be time consuming if it is not done properly, because of the high number of repeating FEA calculations. A simplified approach is proposed in [20], which neglects harmonics higher than ±12 th and uses only 5 field solutions. It removes the necessity of FFT and can reduce the computation time by 80%.…”

Section: B Synchronous Motorsmentioning

confidence: 99%

“…Calculating Fg, and plugging this into Ta/Fg evaluates to 1.782 × 10 3 , thus the value falls in range of the first correlation of (19). Now the convective heat transfer coefficient may be solved for by rearranging (17) (20) and the thermal resistance, Rδ, of Fig. 11 is determined in cylindrical coordinates as:…”

Section: B Example Case -Steady-state Airgap Thermal Modelingmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and Analysis of Electric Motors: State-of-the-Art Review

Bilgin

Liang

Terzić

et al. 2019

IEEE Trans. Transp. Electrific.

Self Cite

101

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This paper presents a comprehensive state-ofthe-art review of the modeling and analysis methods for the multidisciplinary design of electric motors for various applications including vehicular power and propulsion systems and electrified powertrains. It covers the important aspects of different engineering domains such as dynamic modeling, loss calculations, demagnetization analysis, thermal modeling, acoustic noise and vibration analysis, and mechanical stress modeling. The paper intends to guide the electric motor designers through examples and results on how to apply different analysis techniques on electric motors.

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Section: B Synchronous Motorsmentioning

confidence: 99%

Section: B Example Case -Steady-state Airgap Thermal Modelingmentioning

confidence: 99%

Modeling and Analysis of Electric Motors: State-of-the-Art Review

Bilgin

Liang

Terzić

et al. 2019

IEEE Trans. Transp. Electrific.

Self Cite

101

View full text Add to dashboard Cite

show abstract

“…There are numerous methods for modelling the SRM, such as magnetic equivalent circuit analysis, lookup table techniques, finite element analysis FEA [8], [9], and cubicspline interpolations.…”

Section: Mathmatical Model Of Srmmentioning

confidence: 99%

Implementation of Switched Reluctance Motor, Measurement of Flux Linkage, and Inductance Characteristics

Shehata

Abdalla

El-Wakeel

et al. 2017

Port-Said Engineering Research Journal

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Magnetization characteristics play an important role in design, implementation and performance for switched reluctance motors SRMs. The first objective in modelling of SRM is to provide a good accuracy and robust operation over the entire speed and torque range. This paper introduces physical phenomenon that need to be included in actual model of the SRM drive. The introduced methodology is applied on SRM that may be used in aerospace, military, and medical applications for measurement of flux linkage and inductance characteristics. Experimental results are well accurate for modelling and performance analysis of implemented SRM. The cost is lowered in measurement of flux linkage, and inductance characteristic, where the experimental instruments used in this method are common, and the test bench is easy to build, as the SRM has been built. The test indicates the measuring process is simple to implement, and the results are satisfactory, and accurate.

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“…The advantages of the proposed dynamic model are: 1) LUTs are independent of rotor position so the dimensions of LUTs decreases from 3D to 2D. 2) The LUTs required in the proposed method describe a single dq quadrant, so the size of the LUTs and the number of the required FEA steps are reduced by 50% compared to the two-quadrant based method in [27].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Vector Modeling of Three-Phase Mutually Coupled Switched Reluctance Machines with Single dq-Quadrant Look-up Tables

Azer

Nalakath

Howey

et al. 2020

IEEE Open J. Ind. Electron. Soc.

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This paper presents a dynamic modeling method for a 3-phase mutually coupled switched reluctance machine (MCSRM) considering spatial harmonics and saturation. The conventional modeling methods of MCSRMs are based on 3D look-up tables (LUTs), where the phase flux linkages are considered as state variables. These 3D LUTs describe the phase currents with respect to phase flux linkages and rotor position. The 3D LUTs represent two dq quadrants and are obtained from finite element analysis (FEA) by multi-phase excitation where the excitation currents cover two quadrants in the dq synchronous reference frame. The LUTs used in the proposed method represent the phase current and electromagnetic torque as vectors. The magnitude and the angle of these vectors are represented by the sine and cosine Fourier coefficients. Hence, rotor position is not an input to the LUTs and the proposed method uses 2D LUTs. Additionally, the flux linkages in the four dq quadrants possess symmetry for MCSRMs. Therefore, LUTs corresponding to only one dq quadrant are required. The single-quadrant based LUTs reduces the number of FEA steps and the size of the LUTs by 50% compared to the two-quadrant LUT based models. Finally, the proposed method is validated using FEA and experiments for a 12/8 MCSRM.

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Advanced Dynamic Modeling of Three-Phase Mutually Coupled Switched Reluctance Machine

Cited by 32 publications

References 16 publications

Modeling and Analysis of Electric Motors: State-of-the-Art Review

Modeling and Analysis of Electric Motors: State-of-the-Art Review

Implementation of Switched Reluctance Motor, Measurement of Flux Linkage, and Inductance Characteristics

Dynamic Vector Modeling of Three-Phase Mutually Coupled Switched Reluctance Machines with Single dq-Quadrant Look-up Tables

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