CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 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

Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy-PI Controller

by U.saranya, S.allirani
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 5
Year of Publication: 2015
Authors: U.saranya, S.allirani
10.5120/19313-0772

U.saranya, S.allirani . Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy-PI Controller. International Journal of Computer Applications. 110, 5 ( January 2015), 23-28. DOI=10.5120/19313-0772

@article{ 10.5120/19313-0772,
author = { U.saranya, S.allirani },
title = { Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy-PI Controller },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 5 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number5/19313-0772/ },
doi = { 10.5120/19313-0772 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:33.632558+05:30
%A U.saranya
%A S.allirani
%T Model Reference Adaptive System based Speed Sensorless Control of Induction Motor using Fuzzy-PI Controller
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 5
%P 23-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a Model Reference Adaptive System (MRAS) is presented as the speed estimation technique in which the error speed is estimated by comparing reference model and adaptive model and further the error speed is used to obtain the rotor speed. Proportional Integral (PI) is designed for controlling purpose. A non-linear fuzzy-PI controller is used to optimize the speed error value. The Proposed MRAS based speed sensorless control of Induction Motor (IM) drive will ensure the better dynamic performance and reliability, compared to conventional methods. The proposed scheme is simulated using MATLAB/Simulink software.

References
  1. Bose. B. K, Modern Power Electronics and AC Drives. New Delhi, India: Prentice-Hall, 2006, ch. 8, pp. 333–435.
  2. Comanescu M. andXu L. , "Sliding mode MRAS speed estimators for sensorless vector control of induction machine," IEEE Trans. Ind. Electron. ,vol. 53, no. 1, pp. 146–153, Feb. 2006.
  3. Kwon Y. A and Jin D. W. , "A novel MRAS based speed sensorless control of induction motor," in Proc. 25th Annu. Conf. IEEE Ind. Electron. Soc. ,1999, pp. 933–938.
  4. Mir S. , Elbuluk M. E. , and Zinger D. S. , "PI and fuzzy estimators for tuning the stator resistance in direct torque control of induction machines," IEEE Trans. Power Electron. , vol. 13, no. 2, pp. 279–287, Mar. 1998.
  5. Maiti S. , Chakraborty C. , Hori Y. , and Ta M. C. , "Model reference adaptive controller-based rotor resistance and speed estimation techniques for vector controlled induction motor drive utilizing reactive power," IEEE Trans. Ind. Electron. , vol. 55, no. 2, pp. 594–601, Feb. 2008.
  6. Pydiraju G. , Daivaasirvadam M. "Sensorless Speed Control of Induction Motor Using MRAS", International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-1, Issue-5, Nov. 2012.
  7. Rashed M. and Stronach A. F. , "A stable back-EMF MRAS-based sensorless low speed induction motor drive insensitive to stator resistance variation," Inst. Electr. Eng. Proc. Electr. Power Appl. , vol. 151, no. 6,pp. 685–693, Nov. 2004.
  8. Schauder C. , "Adaptive speed identification for vector control of induction motors without rotational transducers," IEEE Trans. Ind. Appl. , vol. 28, no. 5, pp. 1054–1061, Sep. /Oct. 1992.
  9. Suman Maiti, VimleshVerma, Chandan Chakraborty and Yoichi Hori "An Adaptive Speed Sensorless Induction Motor Drive With Arti?cial Neural Network for Stability Enhancement", IEEE Trans. Ind. Informatics. , Vol. 8, No. 4, November 2012.
  10. Tamai S. , Sugimoto H. , and Masao Y. , "Speed sensorless vector control of IM with model reference adaptive system," in conf. Rec. IEEE/IAS Annu. Meeting, 1987, pp. 189-195
  11. Teresa orlowska-kowalska, Senior Member, IEEE, and Mateusz Dybkowski " Stator-Current-Based MRAS Estimator for a Wide Range Speed-Sensorless IM drive", IEEE Transactions on industrial electronics, vol. 57, no. 4, April 2010.
  12. Vasic V. and Vukosavic S. , "Robust MRAS-based algorithm for resistance and rotor speed identi?cation," IEEE Power Eng. Rev. , vol. 21,no. 11, pp. 39–41, Nov. 2001.
  13. Allirani S. , Jaganathan V. , "Torque ripples minimization in DTC band Induction motor drive using fuzzy logic technique" International Journal of Computer Applications (IJCA), vol. 40, No. 1,pp. 25-31,Feb. 2012.
  14. Gadoue S. M. , Giaouris D. and Finch J. W. "MRAS senorless vector control of an induction motor using new sliding-mode and fuzzy-logic adaptation mechanisms" IEEE Trans. on Energy Conversion, vol. 25,no. 2, pp. 394-402,2010.
  15. Mustapha MESSAOUDI, Habib KRAIEM, Mouna BEN HAMED, Lassaad SBITA and Mohamed Naceur ABDELKRIM. , "A Robust Sensorless Direct Torque Control of Induction Motor based on MRAS and Extended Kalman Filter" Leonard Journal of Sciences, Issue 12, pp. 35-36, January-June 2008.
  16. Raghu T. , SrinivasRao J. and Chandra sekhar S. , "Simulation of Sensorless Speed Control of Induction Motor Using APFO Technique", International Journal of Computer and Electrical Engineering, Vol. 4, No. 4, August 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Sensorless speed control Model Reference Adaptive System (MRAS) Induction Motor stationary reference frame speed estimation.

Powered by PhDFocusTM