Speed Sensorless Control Based Artificial Neural Network for Direct Current Motor

Authors

  • Dr. Adel M. Dakhil Department of Electrical Engineering, College Of Engineering, Misan University , Misan, Iraq.
  • Dr. Basil H. Jasim Department of Electrical Engineering, College Of Engineering ,University of Basra , Basra, Iraq

DOI:

https://doi.org/10.31663/utjes.v5i1.613

Abstract

In this paper, A robust adaptive speed sensorless by a neural network approach of a separately excited (DC) motor without the use of speed sensors is presented.The simulation carried out by Matlab backage. The actual speed is estimated using a feed-forward neural network, the neural estimator have three inputs which are armature current, armature voltage, and the speed in the previous step of time; and one output which represents the estimated speed. The obtained results are presented to show the validity and efficiency of sensorless control scheme, which in turn obtains high performances.

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Published

2014-06-01

Issue

Vol. 5 No. 1 (2014)

Section

Articles

License

Copyright (c) 2014 The Author(s), under exclusive license to the University of Thi-Qar

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Speed Sensorless Control Based Artificial Neural Network for Direct Current Motor . (2014). University of Thi-Qar Journal for Engineering Sciences, 5(1), 73-84. https://doi.org/10.31663/utjes.v5i1.613