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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References
Boulghasoul Z, Elbacha A, Elwarraki E, Yousfi D (2011) Combined vector control and direct torque control an experimental review and evaluation. In: international conference on multimedia computing and systems (ICMCS), pp 1–6
Takahashi I, Ohmori Y (1989) High-performance direct torque control of an induction motor. IEEE Trans Ind Appl 25(2):257–264
Perron M, Hoang Le-Huy (2006) Full load range neural network efficiency optimization of an induction motor with vector control using discontinuous PWM.In: IEEE international symposium on industrial electronics, pp 166–170
Lin S-K, Fang C-H (2001) Sliding-mode direct torque control of an induction motor. In: the 27th annual conference of the IEEE industrial electronics society (IECON’01), vol 3, pp 2171–2177
Isao T, Toshihiko N (1986) A new quick-response and high-efficiency control strategy of an induction motor. IEEE Trans Ind Appl IA-22(5):820–827
Zhang X, Zuo H, Sun Z (2011) Efficiency optimization of direct torque controlled induction motor drives for electric vehicles. In: international conference on electrical machines and systems (ICEMS), pp 1–5
Haddoun A, Benbouzid MEH, Diallo D, Abdessemed R, Ghouili J, Srairi K (2005) A loss-minimization DTC scheme for EV induction motors. In: IEEE conference vehicle power and propulsion, pp 7
Bhim S, Pradeep J, Mittal AP, Gupta JRP (2006) Direct torque control: a practical approach to electric vehicle. In: IEEE power india conference, pp 4
Kaila SL, jani HB (2011) Direct torque control for induction motor using SVPWM technique. National conference on recent trend in engineering and technology
Wu J, Gao D, Zhao X, Lu Q (2008) An efficiency optimization strategy of induction motors for electric vehicles. In: IEEE vehicle power and propulsion conference, pp 1–5
Yatim AHM, Utomo WM (2004) Online optimal control of variable speed compressor motor drive system using neural control method. In: power and energy conference, pp 83–87
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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.J., Barolli, L., Xhafa, F., Jeong, H.Y. (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
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6995-3
Online ISBN: 978-94-007-6996-0
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