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Efficiency optimization of a vector controlled induction motor drive using an artificial neural network

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4 Author(s)
Abdin, E.S. ; Dept. of Electr. Eng., Menofiya Univ., Egypt ; Ghoneem, G.A. ; Diab, H.M.M. ; Deraz, S.A.

This paper presents an approach for efficiency optimization of a vector controlled induction motor drive. The optimum flux-producing current is obtained using an artificial neural network. The artificial neural network model is established using Matlab/Simulink and based on the load torque and speed data of an indirect vector-controlled induction motor drive. The change of iron core loss resistance due to flux and frequency variation is taken into consideration. Simulation results of the proposed approach show a significant improvement in energy saving and efficiency optimization.

Published in:

Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE  (Volume:3 )

Date of Conference:

2-6 Nov. 2003