<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The paper re-designs the conventional 6/8 switched reluctance motor (SRM) by a particular way to minimize the losses. The flux loops are shortened by making each two stator teeth incorporated in one magnetic circuit only. Subsequently the flux does not cross in some iron parts of the stator core backs. These unused iron sections are taken off consequently the iron losses decreased. Now the stator consists of three separated sections and they are fixed inside non-magnetic cylinder. The copper losses also are decreased because less copper windings are used to produce the same amount of the output torque as the flux paths become short then the flux density increases. The analysis and comparison of the 6/8 SRM before and after the re-design process are presented. A m files Matlab software is used to simulate the dynamic performance. Then the paper proceeds to examine different control techniques to the new design. The hysteresis and PI controllers are used as classical method to control the SRM. Then the artificial neural network (ANN) is used to test the new control techniques.</p></abstract>

The paper re-designs the conventional 6/8 switched reluctance motor (SRM) by a particular way to minimize the losses. The flux loops are shortened by making each two stator teeth incorporated in one magnetic circuit only. Subsequently the flux does not cross in some iron parts of the stator core backs. These unused iron sections are taken off consequently the iron losses decreased. Now the stator consists of three separated sections and they are fixed inside non-magnetic cylinder. The copper losses also are decreased because less copper windings are used to produce the same amount of the output torque as the flux paths become short then the flux density increases. The analysis and comparison of the 6/8 SRM before and after the re-design process are presented. A m files Matlab software is used to simulate the dynamic performance. Then the paper proceeds to examine different control techniques to the new design. The hysteresis and PI controllers are used as classical method to control the SRM. Then the artificial neural network (ANN) is used to test the new control techniques.

Reconstruction of the Switched Reluctance Motor Stator

Faculty of Engineering, Electrical Power & Machines Department, Ain Shams University, 11517 Cairo, Egypt

Journal of Electrical Engineering

{"article-title":"Reconstruction of the Switched Reluctance Motor Stator"}

The paper re-designs the conventional 6/8 switched reluctance motor (SRM) by a particular way to minimize the losses. The flux loops are shortened by making...

Reconstruction of the Switched Reluctance Motor Stator

Published Online: Feb 22, 2012

Page range: 3 - 12

DOI: https://doi.org/10.2478/v10187-012-0001-2

Keywords
finite element, matlab, minimizing losses, separated sections, near stator teeth, switched reluctance motor

This content is open access.

Reconstruction of the Switched Reluctance Motor Stator

Published Online: Feb 22, 2012

Page range: 3 - 12

DOI: https://doi.org/10.2478/v10187-012-0001-2

Keywordsfinite element, matlab, minimizing losses, separated sections, near stator teeth, switched reluctance motor

This content is open access.

Keywords
finite element, matlab, minimizing losses, separated sections, near stator teeth, switched reluctance motor