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Switched reluctance motor control without position sensor by using data obtained from finite element method in artificial neural network

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Abstract

Switched reluctance motors (SRMs) require sensitive rotor information in order to work sensitively and properly and especially for the commutation of phase currents. Position information is generally acquired from a sensor which is generally placed into the stator or connected to the rotor. However, sensors have disadvantages in terms of cost, safety, complexity and volume. In order to remove these disadvantages, recent studies concentrate on SRMs working without a position sensor. In this study control methods working without a position sensor are examined, the applied method is presented comprehensively. The education and test data of the artificial neural network is not obtained from simulation or experimental results; it is obtained from magnetic analyses carried out in ANSYS 10 and the results are used in position speed and current sensorless control of SRM. The validity of proposed method is demonstrated by using DS 1103.

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Correspondence to Mehmet Polat.

Appendix

Appendix

The size of the motor is given following [24]:

The number of stator/rotor poles:

:8/6

The stator/rotor pole arc length:

:\(22^{\circ }/24^{\circ }\)

The stator/rotor pole width:

:9.98/10.9 mm

The stator/rotor pole step:

:\(45^{\circ }/60^{\circ }\)

The stator outer diameter:

:92.2 mm

The stator inner diameter:

:52 mm

The length of the stator package:

:180 mm

The shaft diameter:

:22 mm

The rotor outer diameter:

:51 mm

The length of the stator pole:

:10.1 mm

The length of the rotor pole:

:7.9 mm

The size of air gap:

:0.5 mm

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Polat, M., Oksuztepe, E. & Kurum, H. Switched reluctance motor control without position sensor by using data obtained from finite element method in artificial neural network. Electr Eng 98, 43–54 (2016). https://doi.org/10.1007/s00202-015-0338-1

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  • DOI: https://doi.org/10.1007/s00202-015-0338-1

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