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Neuro-fuzzy Controller for High Performance Induction Motor Drives

by K. Mohanasundaram, Dr. K. Sathiyasekar, Dr. N. Rajasekar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 10
Year of Publication: 2012
Authors: K. Mohanasundaram, Dr. K. Sathiyasekar, Dr. N. Rajasekar
10.5120/4723-6899

K. Mohanasundaram, Dr. K. Sathiyasekar, Dr. N. Rajasekar . Neuro-fuzzy Controller for High Performance Induction Motor Drives. International Journal of Computer Applications. 38, 10 ( January 2012), 12-16. DOI=10.5120/4723-6899

@article{ 10.5120/4723-6899,
author = { K. Mohanasundaram, Dr. K. Sathiyasekar, Dr. N. Rajasekar },
title = { Neuro-fuzzy Controller for High Performance Induction Motor Drives },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 10 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number10/4723-6899/ },
doi = { 10.5120/4723-6899 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:00.907669+05:30
%A K. Mohanasundaram
%A Dr. K. Sathiyasekar
%A Dr. N. Rajasekar
%T Neuro-fuzzy Controller for High Performance Induction Motor Drives
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 10
%P 12-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents development of a neuro-fuzzy system for performance enhancement of a.c.voltage controller fed induction motor drives. Improvement in motor efficiency and power factor is achieved by suitably adapting the motor flux to optimum point by stator voltage control. The optimum SCR firing angle for each operating point is readily estimated by the neuro-fuzzy system. Extensive simulation is carried out with the proposed technique and the results are presented.

References
  1. N.Mohan, “Improvement in energy efficiency of induction motor by means of voltage control,” IEEE Trans.on Power Apparatus and Systems, Vol.PAS-99, No.4, pp.1466-1470, July/Aug.1980.
  2. T.W.Roman and T.A.Lipo, “A quantitative analysis of induction performance improvement by SCR voltage control,” IEEE Trans.on Power Apparatus and Systems, Vol.PAS-19, No.4, pp.545-553, July/Aug.1983.
  3. V.V.Sastry, M.R.Prasad, and T.V.Sivakumar, “Optimal soft starting of voltage controlled fed IM drive based on voltage across thyristor,” IEEE Trans.on Power Electronics, Vol 12, No.6, pp.1041-1051, November 1997.
  4. P.Famouri and J.J.Cathey, “Loss minimization control of an induction motor drive,” IEEE Trans. on Industry Applications, Vol.27, No.1, pp.32-37, Jan/Feb.1991.
  5. I.Kioskerdis and N.Margaris, “Loss minimization in scalar-controlled Induction motor drives with search controllers,” IEEE Trans. on Power Electronics, Vol.11, No.2, pp.213-220, March 1996.
  6. B.K.Bose, N.R.Patel and K.Rajashekaran, “A neuro- fuzzy on line efficiency optimization control of a stator flux-oriented direct vector controlled induction motor drive,” IEEE Trans. on Industrial Electronics, Vol.44, No.2, pp.270-273, April 1997.
  7. M.L. Benloucif, and L. Mehenaoui, “A fuzzy neural scheme for fault diagnosis,” Proc. International Computer Systems and Information Technology Conference ICSIT’05, Algiers, July 19-21, 2005
  8. M. Zerikat, M. Bendjebbar and N. Benouzza.” Dynamic Fuzzy-Neural Network Controller for Induction Motor Drive” World Academy of Science, Engineering and Technology 2005
  9. Hassan Baghgar Bostan Abad, Ali Yazdian Varjani, Taheri Asghar, “Using Fuzzy Controller in InductionMotor Speed Control withConstant Flux”, Proc. of world academy of science, engineering and technology, Vol.5,ISSN 1307-6884, April 2005
  10. M. N. Uddin and Hao Wen, “A Neuro- fuzzy Base Hybrid Intelligent Controller for High Performance Induction Motor Drives”, IEEE IAS Conf. Record, Seattle, USA, 2004, pp. 2630-2636.
  11. M.T.Hogon and H.B.Demuth, Neural network design, PWS publishing company, Boston, 1996.
  12. Ashok Kusagur, S.F. Kodad, B.V. Sankar Ram, “Modelling of Induction Motor & Control of Speed Using Hybrid Controller Technology”, Proc. Int. Journal of Theoretical Information & Technology (JATIT), Vol. 10,issue 2, pp. 117-126, Dec. 2009
  13. Ashok Kusagur, Dr. S. F. Kodad, Dr. B V. Sankar Ram Modeling, Design & Simulation of an Adaptive Neuro- Fuzzy Inference System (ANFIS) for Speed Control of Induction Motor ,International Journal of Computer Applications (0975 – 8887)Volume 6– No.12, September 2010.
  14. Zulkarnain Lubis, Solly aryza, Ahmed N Abdalla, Zulkeflee Bin Khalidin “A Novel Induction Motor Speed Estimation Using Neuro – Fuzzy ”, International Conference on Circuits, System and Simulation, vol.7 2011.
  15. MATLAB, High performance numeric computation and visualization software, Reference Guide, Mathworks Inc., 1992.
  16. SIMULINK, Dynamic system simulation for MATLAB Version 2 Mathworks Inc., January 1997.
  17. P.C.Krause, Analysis of electric machinery, Mc.Graw- Hill, 1986.
  18. B.K.Bose, Power electronics and AC Drives, Engelwood cliffs NJ, PrenticeHall, 1986.
Index Terms

Computer Science
Information Sciences

Keywords

Induction motor a.c. voltage controller Modeling Fuzzy logic

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