Magnetic Modeling, Prototyping, and Comparative Study of a Quintuple-Set Switched Reluctance Motor

Afjei, E.; Siadatan, Alireza; Torkaman, Hossein

doi:10.1109/tmag.2015.2418257

Cited by 34 publications

(18 citation statements)

References 37 publications

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“…As an example, Δθ is 30°× π/180°for an 8/6 SRM. For a specific current level (I), co-energy values related to the unaligned and aligned positions (w c,aligned and w c,unaligned ) are calculated using (15) and the change of coenergy is then derived from (16).…”

Section: Magnetic Equivalent Circuit Modelmentioning

confidence: 99%

“…Since average torque is also increased for a multi-layer SRM with higher number of layers, this valuable point can be considered for construction of a high power SRM with minimum torque ripple useful for some applications where there is no any limitation on axial length of the motor. It should be added that various multi-layer SRMs with different number of layers have been already introduced in the literatures such as 2layer in, 15,17 3-layer in, 13,14 5-layer in 16 and 7-layer in. 18 The main reason to select higher number of layers in the multilayer SRM is to increase the produced torque usable for introducing high power electric machines.…”

Section: Figure 20mentioning

confidence: 99%

“…A 3-layer 8/8 SRM is introduced in 13 to have a high starting torque motor. A 5-layer 4/4 SRM is introduced in 16 in which a single rotor is considered for all layers and there is a displacement by 18°between two adjacent stators. To reduce torque ripple, a different structure is introduced in 15 for the 2-layer 6/4 SRM and a prototype is manufactured to evaluate the proposed idea.…”

mentioning

confidence: 99%

“…To reduce torque ripple, a different structure is introduced in 15 for the 2-layer 6/4 SRM and a prototype is manufactured to evaluate the proposed idea. A 5-layer 4/4 SRM is introduced in 16 in which a single rotor is considered for all layers and there is a displacement by 18°between two adjacent stators. A different configuration is proposed in 17 for the 2-layer 6/4 switched reluctance machine.…”

mentioning

confidence: 99%

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Multi‐layer switched reluctance motors: Performance prediction and torque ripple reduction

Vahedi

Ganji

Afjei

2019

Int Trans Electr Energ Syst

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Summary In comparison to one‐layer switched reluctance motor (SRM), a multi‐layer SRM is able to produce much larger output power and it can be considered as a good candidate for high‐power electric machine. For a multi‐layer SRM, different layers have the same performances and they are completely independent from electromagnetic point of view. Therefore, analysis of one layer can be only carried out to determine the electromagnetic characteristics of the multi‐layer SRM. In the present paper, a fast and simple magnetic equivalent circuit (MEC) model is introduced for one‐layer SRM and it is then used for performance prediction of the multi‐layer SRM. Due to high torque ripple of the SRM, a simple solution is suggested for different types of the multi‐layer SRM by which torque ripple of this motor can be reduced significantly. To evaluate the done modeling and the suggested torque ripple method, simulation results are presented for a typical multi‐layer 8/6 SRM.

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Section: Magnetic Equivalent Circuit Modelmentioning

confidence: 99%

Section: Figure 20mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Multi‐layer switched reluctance motors: Performance prediction and torque ripple reduction

Vahedi

Ganji

Afjei

2019

Int Trans Electr Energ Syst

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“…This force causes rotational motion that can be calculated as a function of rotating internal parameters:2 …”

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confidence: 99%

A New Strategy for Design and Analysis of a Double-Stator Switched Reluctance Motor: Electromagnetics, FEM, and Experiment

2015

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1 Abstract-Double-stator switched reluctance motor (DSSRM) has a potential to produce more power per volume than other types of SRMs. This paper offers a new design strategy concentrating on power rating to calculate the dimensions of a DSSRM. The new strategy is based on dissecting the DSSRM into two inner and outer rotor SRMs. In this regard, both of inner and outer rotor SRMs are designed separately, then results are merged together. The characteristics of the DSSRM are achieved utilizing analytical design and three-dimensional finite element analysis (3D-FEA). Also, the obtained results are compared with dual SRM (DSRM). To determine the appropriate performance of the motor, the magnetic analysis is performed utilizing a three dimensional model. In addition, to achieve optimal operation, two different winding configurations are investigated and compared with each other. Finally, a prototype of the flat-type cup-shape DSSRM with a segmented rotor is fabricated and tested in the laboratory. The results of analytical calculations and the FEA are validated by testing motor, which show the accuracy the design strategy and it can be extensible to other types of motors.Index Terms-Electromagnetics analysis, motor design, analytical model, finite element analysis, double-stator switched reluctance motor. 0018-9464 (c)

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Design, modeling, prototyping, and comparison of a low‐cost, small‐size, and accurate sensorless driver for switched reluctance motor

Siadatan

Torkaman

Rafie

2019

Engineering Reports

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A switched reluctance motor (SRM) is a low-cost motor with a simple structure and variable speed industrial and home applications. This article presents the design, simulation, and development of a low-cost, accurate, and small-size sensorless driver for a 6/4 three-phase SRM. In the algorithm, the (nonlinear) relation of the flux, current, and rotor (FCR) position is linearized to achieve a modified FCR model, in which the values of the most important points of the primary FCR are emphasized. The SRM parameters required for the design process are obtained using a 3D finite-element method (FEM). The proposed method is simulated and then tested under different load and speed conditions.The results are compared with a conventional sensorless algorithm's results, and the reference data are obtained by a direct with-sensor algorithm. The algorithm estimates the rotor position (error of 1.3%) between low to nominal speed of the selected SRM under both nominal and no-load conditions. In comparison with the conventional algorithm, the proposed FCR model significantly reduces the calculation cost and memory demand by 66%. Finally, the proposed algorithm decreases the driver size and price by 64% and 85%, respectively. K E Y W O R D Senergy efficiency, rotor position detection, sensorless drive, switched reluctance motor INTRODUCTIONSwitched reluctance motor (SRM) has a lot of merits such as high performance, simple and low-cost structure, and ability to operate under harsh conditions with high speed. 1,2 The rotor can achieve high speed because it does not include any winding and has low weight. 3,4 Since power electronic devices and transistors are utilized in the SRM driver, SRM had not been used for many years until the developments in power electronics technology in the past decades. 5,6 In SRM control, the rotor position is required since the stator pole should be energized in a rotor position where positive torque can be generated to rotate the rotor. 7-9 Basically, two main strategies are suggested for detecting the rotor position: direct (with position sensor) and indirect (sensorless) strategies. [10][11][12] In indirect methods, different types of position sensors such as encoder and Hall effect sensor can be used to detect the location of the rotor. Although this method is very accurate, the

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Magnetic Modeling, Prototyping, and Comparative Study of a Quintuple-Set Switched Reluctance Motor

Cited by 34 publications

References 37 publications

Multi‐layer switched reluctance motors: Performance prediction and torque ripple reduction

Multi‐layer switched reluctance motors: Performance prediction and torque ripple reduction

A New Strategy for Design and Analysis of a Double-Stator Switched Reluctance Motor: Electromagnetics, FEM, and Experiment

Design, modeling, prototyping, and comparison of a low‐cost, small‐size, and accurate sensorless driver for switched reluctance motor

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