@inproceedings{31ecb7efa685445cb41cc039e503d9d5,
title = "Artificial intelligence sensorless control of induction motor",
abstract = "In this paper a sensorless vector control system of induction motor using Artificial intelligence is presented. The ANN and fuzzylogic solutions are discussed. A feed forward ANN with one input, two units in the hidden layer and one output is used for the speed controller. The tracking of the rotor speed is realized by adjusting the new weights of the network depending on the difference between the actual speed and the command speed. A comparative study between the proposed controller and the conventional PI one will be presented and will show promising results. Also comparison between the conventional PI and fuzzy logic controllers will be shown. The rotor speed tracks the command one smoothly and rapidly, without overshoot and with very small steady state error. Computer simulation results are curried out",
keywords = "Artificial neural networks, Fuzzy logic, Induction motor, Sensorless control, Vector control",
author = "Haithem Abu-Rub and Awwad, {Abdel Karini} and Noreddin Motan",
year = "2007",
doi = "10.1109/CPE.2007.4296530",
language = "English",
isbn = "142441055X",
series = "5th International Conference-Workshop Compatibility in Power Electronics, CPE 2007",
publisher = "IEEE Computer Society",
booktitle = "5th International Conference-Workshop Compatibility in Power Electronics, CPE 2007",
address = "United States",
note = "5th International Conference-Workshop Compatibility in Power Electronics, CPE 2007 ; Conference date: 29-05-2007 Through 01-06-2007",
}