Core losses model of switched reluctance motor

Wciślik, M.; Suchenia, K.

doi:10.1109/wzee.2015.7394014

Cited by 10 publications

(2 citation statements)

References 3 publications

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“…2. Due to the non‐linear nature of the flux densities, the losses were quantified through the Fourier series expansion with mathematical models and it was observed that two‐thirds of the stator back iron contributed to more than 60% of the total iron loss in the motor [17–22].…”

Section: Losses In Srmmentioning

confidence: 99%

Review based on losses, torque ripple, vibration and noise in switched reluctance motor

Seshadri

Lenin

2019

IET Electric Power Applications

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Some key features to be satisfied by electric motors catering a wide range of applications are high specific power, lower manufacturing cost, rugged construction, and fault‐tolerant operation. Switched reluctance motor is one such motor technology satisfying all the above requirements and is an emerging competitor to the induction and permanent magnet motors in domestic, industrial and electric vehicle applications. The present‐day research on this motor is moving towards improving efficiency at lower speeds, power density, and the torque density. Certain challenges in achieving the same are (a) minimising the losses, (b) mitigation of torque ripple, noise, and vibration, and (c) material advancements. A review based on the estimation and mitigation techniques of each of these over the past three to four decades has been dealt with in this study. The salient features and results in each section provide a clear understanding of how each of these challenges can be overcome in the aspect of design and control strategies.

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Section: Losses In Srmmentioning

confidence: 99%

Review based on losses, torque ripple, vibration and noise in switched reluctance motor

Seshadri

Lenin

2019

IET Electric Power Applications

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“…The data files were loaded into MATLAB and processed using Golay -Savitzky filter to eliminate noise and calculate derivatives. The parameters of the motion equations were calculated using least squares method [13].…”

Section: Figure 2: the Measurement Diagram Of The Reluctance Motor Pamentioning

confidence: 99%

Holonomicity analysis of electromechanical systems

Wciślik

Suchenia

2017

Open Physics

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Electromechanical systems are described using state variables that contain electrical and mechanical components. The equations of motion, both electrical and mechanical, describe the relationships between these components. These equations are obtained using Lagrange functions. On the basis of the function and Lagrange -d'Alembert equation the methodology of obtaining equations for electromechanical systems was presented, together with a discussion of the nonholonomicity of these systems. The electromechanical system in the form of a single-phase reluctance motor was used to verify the presented method. Mechanical system was built as a system, which can oscillate as the element of physical pendulum. On the base of the pendulum oscillation, parameters of the electromechanical system were defined. The identification of the motor electric parameters as a function of the rotation angle was carried out. In this paper the characteristics and motion equations parameters of the motor are presented. The parameters of the motion equations obtained from the experiment and from the second order Lagrange equations are compared.

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Identification of Parameters of Inertial Models Using the Levenberg-Marquardt Method

Łaskawski

Kazała

2018

2018 Conference on Electrotechnology: Processes, Models, Control and Computer Science (EPMCCS)

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Core losses model of switched reluctance motor

Cited by 10 publications

References 3 publications

Review based on losses, torque ripple, vibration and noise in switched reluctance motor

Review based on losses, torque ripple, vibration and noise in switched reluctance motor

Holonomicity analysis of electromechanical systems

Identification of Parameters of Inertial Models Using the Levenberg-Marquardt Method

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