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Induction Motor Drive Based Neural Network Direct Torque Control

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Information Technology Convergence

Abstract

A neural network based direct torque control of an induction motor was presented in this paper. The paper trained a neural network for speed controller of the machine to use in the feed-back loop of the control system. The description of the control system, training procedure of the neural network is given in this paper. The complete neural network based direct torque control scheme of induction motor drive is simulated using MATLAB. The acquired results compared with the conventional direct torque control reveal the effectiveness of the neural network based direct torque control schemes of induction motor drives. The proposed scheme improved the performance of transient response by reduces the overshoot. The validity of the proposed method is verified by the simulation results.

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Correspondence to Sy Yi Sim .

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© 2013 Springer Science+Business Media Dordrecht

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Sim, S.Y., Utomo, W.M., Haron, Z.A., Bohari, A.A., Zin, N.M., Ariff, R.M. (2013). Induction Motor Drive Based Neural Network Direct Torque Control. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_27

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  • DOI: https://doi.org/10.1007/978-94-007-6996-0_27

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6995-3

  • Online ISBN: 978-94-007-6996-0

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