Artificial neural networks and fuzzy logic based control of AC motors

Haitham Abu-Rub, A. Awwad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, speed controller based on Artificial Neural Networks ANN and fuzzy logic controller FLC for vector control of AC motors is used. In the case using ANN 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. The controller is an adaptive and based on a nonlinear autoregressive moving average (NARMA-L2). Mamdani type of FLC will be used for speed control. Simple membership functions for three linguistic variables are used. A comparative study between the proposed controllers and the conventional PI one will be presented and will show the advantages of the proposed solution over the conventional one. Computer simulation results are curried out.

Original languageEnglish
Title of host publication2009 IEEE International Electric Machines and Drives Conference, IEMDC '09
Pages1581-1586
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Electric Machines and Drives Conference, IEMDC '09 - Miami, FL, United States
Duration: 3 May 20096 May 2009

Other

Other2009 IEEE International Electric Machines and Drives Conference, IEMDC '09
CountryUnited States
CityMiami, FL
Period3/5/096/5/09

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Keywords

  • Artificial neural networks
  • Fuzzy logic
  • Induction motor
  • Vector control

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Abu-Rub, H., & Awwad, A. (2009). Artificial neural networks and fuzzy logic based control of AC motors. In 2009 IEEE International Electric Machines and Drives Conference, IEMDC '09 (pp. 1581-1586). [5075414] https://doi.org/10.1109/IEMDC.2009.5075414