International Journal of Energy and Power Engineering
Volume 3, Issue 2, April 2014, Pages: 52-56
Received: Jan. 26, 2014;
Published: Mar. 20, 2014
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Moinak Pyne, Department of Electrical Engineering, M.C.E.T., West Bengal University of Technology, Kolkata, India
Abhishek Chatterjee, Department of Electrical Engineering, M.C.E.T., West Bengal University of Technology, Kolkata, India
Sibamay Dasgupta, BIEMS, West Bengal University of Technology, Kolkata, India
Three phase induction motors being the most widely used motor for domestic, commercial and industrial applications, demands a more detailed understanding and improved analysis of its performance characteristics. The conventional method of using the equivalent circuit for assessing the motor performance cannot incorporate the non-linearities involved in the speed torque characteristics into the performance of the motor to the fullest extent. This paper presents an ANN based modeling of three phase induction motor to overcome this problem. The model has been tested and validated with actual experimental data. The performance of the model has been compared with that of a classical equivalent circuit technique both graphically and statistically and found to be superior. The model can thus offer a better method of speed estimation and control of the induction motor for input voltage variation with and without input frequency change.
Speed Estimation of Three Phase Induction Motor Using Artificial Neural Network, International Journal of Energy and Power Engineering.
Vol. 3, No. 2,
2014, pp. 52-56.
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