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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

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