Harmonic Analysis Of Induction Motor Drive Using Neural Network

Prashant Menghal*, A. Jaya Laxmi**
* Faculty of Degree Engineering, Military College of Electronics & Mechanical Engineering, Secunderabad, &Research Scholar, EEE Dept., JNTU, Andhra Pradesh, India.
** Professor, Department of EEE, Jawaharlal Nehru Technological University, College of Engineering, Andhra Pradesh, India.
Periodicity:July - September'2013
DOI : https://doi.org/10.26634/jee.7.1.2427

Abstract

In Industries, because of its good self-starting capability, simple and rugged structure, low cost and reliability etc. more than 85 % of the motors are Induction Motors. By varying the stator frequency over a wide range, 3-phase squirrel cage Induction Motors can be used in variable frequency IGBT Inverter fed space vector control method to control the harmonics. The IGBT fed space vector control drive systems are widely preferred in Industries because of wide application of induction motors in industry, commercial and residential, and they constitute the largest component of the load. Due to harmonics, the power system gets polluted and creates hurdle to the operation of induction motors. Therefore, the effects of harmonics on the induction motors draws attention of many researchers. Recently, there is an increasing recognition of neural network based technology to meet the requirement of more efficient and compact variable speed drive systems for both AC and DC motor applications. Harmonic analysis of inverter fed induction motor drive using neural network is simulated in MATLAB/SIMULINK.

Keywords

Harmonic Analysis, Neural network SVPWM, THD.

How to Cite this Article?

Menghal, P. M., and Laxmi, A. J., (2013). Harmonic Analysis Of Induction Motor Drive Using Neural Network. i-manager’s Journal on Electrical Engineering, 7(1), 20-28. https://doi.org/10.26634/jee.7.1.2427

References

[1]. Tze Fun Chan., Keli Shi (2011). Applied Intelligent Control of Induction Motor Drives. IEEE Willey Press.
[2]. P.C. Krause (2000). Analysis of Electrical Machinery and Drives System. IEEE Willey Press.
[3]. Ned Mohan (2001). Advanced Electric Drives: Analysis, Control Modeling using Simulink. MNPERE Publication.
[4]. K.L . Shi, T . F. Chan, Y. K. Wong and S. L .HO (1999). Modeling and simulation of the three phase induction motor Using SIMULINK. IEEE Educ, 36, 163–172. doi. 10.1109/IEMDC.1997.604326.
[5]. P.M Menghal, and A.S Sindekar (2003). Harmonic Analysis for Some prominent PWM Strategies in Inverters. IE(I) Journal EL,84, 79 -85.
[6]. P M Menghal, A.Jaya Laxmi (2012). Artificial Intelligence Based Dynamic Simulation of Induction Motor Drives. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 3(5),37-45.doi: 10.9790/1676- 0353745
[7]. P. M. Menghal, A. Jaya Laxmi (2013). Adaptive Neuro Fuzzy based Dynamic simulation of Induction Motor Drives. IEEE Int. conf. Fuzzy Systems, 1-8.
[8]. P. M. Menghal, A Jaya Laxmi (2013). Neural Network based Dynamic Simulation of Induction Motor Drives. IEEE International Conference. Power, Energy & Control,566- 571.doi :10.1109/ICPEC.2013.6527722.
[9]. P. M .Menghal,A Jaya Laxmi (2012). Adaptive Neuro Fuzzy Interference (ANFIS) based simulation of Induction motor drive. Int. Review on Modeling and Simulation (IRMOS), 5(5), 2007-2016.
[10]. M. Nasir Uddin, Muhammad Hafeez (2012). FLCBased DTC Scheme to Improve the Dynamic Performance of an IM Drive. IEEE Trans. Ind. Appl, 823- 831.doi: 10.1109/TIA.2011.2181287.
[11] . M. Nasir Uddin, Hao Wen (2007). Development of a Self-Tuned Neuro-Fuzzy Controller for Induction Motor D r i v e s. I E E E Tr a n s I n d . A p p , 1 1 0 8 - 1 1 1 6 . d o i : 10.1109/TIA.2007.900472.
[12] . M Nasir Uddin, Tawfik S. Radwan et al. (2002). Performance of Fuzzy logic based indirect vector control for induction motor drive, IEEE Trans. Ind. Appl, 38(5),1219- 1225.doi: 10.1109/TIA.2002.802990.
[13] . Besir Dandil, Muammer Gokbulut Fikrat Ata (2005). A PI Type Fuzzy –Neural Controller for Induction Motor Drives, Journal of Appl. Sci., 5(7), 1286.1291.doi: 10.3923/jas.2005.
[14]. Rajesh Kumar, R. A. Gupta Rajesh S. Surjuse (2009). Adaptive Neuro-Fuzzy Speed Controller for Vector Controlled Induction Motor Drive. Asian Power Electro. Journal,3(1), 8-14. doi:14.79e41505757a2a8cab.
[15]. Mouloud Azzedine Denai and Sid Ahmed Attia (2002). Fuzzy and Neural Control of an Induction Motor, International Journal on Applied Mathematics J. Appl. M a t h . C o m p u t e r. S c i e n c e , 1 2 ( 2 ) , 8 - 1 4 . doi:10.1.1.135.303.
[16]. Bimal K. Bose (2007). Neural Network Applications in Power Electronics and Motor Drives -An Introduction and Perspective. IEEE Trans. Industrial.Electronics,54(1),14- 33.doi: 10.1109/TIE.2006.888683.
[17]. Uddin, M.N.,Huang, Z.R. et al (2007). A Simplified Self-Tuned Neuro-Fuzzy Controller Based Speed Control of an Induction Motor Drive. IEEE Power Engineering Society General Meeting,1-8.doi: 10.1109/PES.2007.385720.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.