CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Article:Direct Torque Control of Induction Machine based on Intelligent Techniques

by Soufien Gdaim, Abdellatif Mtibaa, Mohamed Faouzi Mimouni
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 8
Year of Publication: 2010
Authors: Soufien Gdaim, Abdellatif Mtibaa, Mohamed Faouzi Mimouni
10.5120/1500-2017

Soufien Gdaim, Abdellatif Mtibaa, Mohamed Faouzi Mimouni . Article:Direct Torque Control of Induction Machine based on Intelligent Techniques. International Journal of Computer Applications. 10, 8 ( November 2010), 29-35. DOI=10.5120/1500-2017

@article{ 10.5120/1500-2017,
author = { Soufien Gdaim, Abdellatif Mtibaa, Mohamed Faouzi Mimouni },
title = { Article:Direct Torque Control of Induction Machine based on Intelligent Techniques },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 8 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 29-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number8/1500-2017/ },
doi = { 10.5120/1500-2017 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:59:12.399450+05:30
%A Soufien Gdaim
%A Abdellatif Mtibaa
%A Mohamed Faouzi Mimouni
%T Article:Direct Torque Control of Induction Machine based on Intelligent Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 8
%P 29-35
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Induction machine drive based on Direct Torque Control (DTC) allows high dynamic performance with very simple hysteresis control scheme. Conventional Direct Torque Control (CDTC) suffers from some drawbacks such as high current, flux and torque ripple, difficulties in torque as well as flux control at very low speed. In this paper, we propose two intelligent approaches to improve the direct torque control of induction machine; fuzzy logic control and artificial neural networks control. We carry out a detailed comparison study between direct torque fuzzy control (DTFC), direct torque neural networks control (DTNNC) and CDTC applied to switching select voltage vector. The theoretical foundation principle, the numerical simulation procedure and the performances of both methods are also presented.

References
  1. Abbou A, Mahmoudi H. Performance of a sensorless speed control for induction motor using DTFC strategy and intelligent techniques. Journal of Electrical Systems. Volume 5, Issue 3, September 2009.
  2. A. Sivasubramanian, B. Jayanand. Application of Neural Network Structure in Voltage Vector Selection of Direct Torque Control Induction Motor. International Journal of Applied Engineering Research. Volume 4 Number 6, 2009.
  3. Luis R, Antoni A, Emiliano A, Marcel G. Novel Direct Torque Control (DTC) Sheme With Fuzzy Adaptive Torque- Ripple Reduction. IEEE Transactions On Industrial Electronics, vol 50, No.3, June 2003.
  4. Takahashi I, Noguchi T. A new quick-response and high efficiency control strategy of an induction motor, IEEE trans. Vol IA-22, no 5. 1986.
  5. Deng J, Tu L. Improvement of Direct Torque Control Low-speed Performance by Using Fuzzy Logic Technique. International Conference on Mechatronics and Automation. June 25-28, Luoyang, china.
  6. Toh C, Idris N, Yatim A, Muhamad N, Elbuluk M. Implementation of a New Torque and Flux Controllers for Direct Torque Control (DTC) of Induction Machine Utilizing Digital Signal Processor (DSP) and Field Programmable Gate Arrays (FPGA). Power Electronics Specialists Conference, 2005. IEEE 36th 16-16 June 2005.
  7. Bibhu P, Dinkar P, Sabyasachi S. A Simple hardware realization of switching table based direct torque control of induction motor. Electric Power Systems research 2007. Elsevier Publisher.
  8. Mengjia J, Jianqi Q, Cenwei S, Ruiguang L. A fuzzy DTC method with a SVM defuzzification to Permanent Magnet synchronous Machine. The 30th annual conference of the IEEE inductrial electronics society, November 2-5, 2004 korea.
  9. Saurabh N, Pandya A, Chatterjee J. Torque Ripple Minimisation in direct torque control based IM drive, Part 1 : Single-rate control strategy. 978-1-4244-1762-9/08. 2008 IEEE.
  10. Yuttana K, Suuttichai P, Hamid A. Modified Direct Torque Control method for induction motor drives based on amplitude and angle control of stator flux. Electric Power Systems research 2008. Elsevier Publisher.
  11. Rajesh K, Gupta R, Bhangale S, Himanshu G. Artificial Neural Network Based Direct Torque Control of Induction Motor Drives. IET-UK International Conference on Information and Communication Technology in Electrical sciences (ICTES 2007)
  12. A. Goedtel, I.. N. Silva, P. J. Serni, Load torque identification in induction motor using neural networks technique, Electric Power Syustem Research, Science Direct 2006.
  13. A. Abbou , H. Mahmoudi. Performance of a sensorless speed control for induction motor using DTFC strategy and intelligent techniques. Journal of Electrical Systems. Volume 5, Issue 3, September 2009.
  14. Kaboli S, Zlghadri M, Emadi A. A Fast Flux Search Controller for DTC Based Induction Motor Drives. Power Electronics Specialists Conference, 2005. PESC '05. IEEE 36th Publication Date: 16-16 June 2005.
  15. Fatiha Z, Rachid N. Direct torque control of induction motor with fuzzy minimization torque ripple. Journal of electrique engineering, vol 56, no 7-8, 2005.
  16. M. Cirstea, A. Dinu, J. Khor, M. Mccormick, "Neural and Fuzzy Logic Control of Drives and Power Systems", Newnes, An imprint of Elsevier Science First published 2002. 412 pages.
  17. S. Haykin, "Neural Network – A comprehensive Foundation", Prentice Hall 1999. 897 pages.
  18. B. Bose, "Power Electronics and Motor Drives, Advances and Trends", Academic Press is an imprint of Elsevier, published 2006, 935 pages.
Index Terms

Computer Science
Information Sciences

Keywords

Direct torque control fuzzy logic control neural networks induction motor

Powered by PhDFocusTM