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A Survey in Direct Torque Control Induction Motor Drive

K. Gurunath Sudheer, Deva Kishore

Abstract


Direct Torque Control (DTC) of induction motor is
preferred control strategy recently, due to its quick torque response, simplicity, less sensitivity against motor parameter variation. In this project, a detailed comparison between SMC, Fuzzy Sliding Mode (FSM) speed controllers and a Genetic Algorithm (GA) optimized PI controller in terms of robustness, disturbance rejection capability and sensitivity to stator resistance variation will be analyzed. The comparison is carried out based on assigning a performance index in
terms of speed error to provide a numerical comparison of their performance when applied to a DTC Induction motor Drive. in this proposed work, the performance of two controllers are investigated and compared for different dynamic operating conditions such as of
reference speed and for load torque step changes at nominal
parameters and in the presence of parameter variation. The validity of the proposed work will be simulating using MATLAB.


Keywords


Direct Torque Control, Fuzzy Logic, Genetic Algorithms, Induction Motor, Sliding Mode Control

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References


M. N. Uddin, T. S. Radwan, M. Rahman, “Performance of fuzzy-logicbased

indirect vector control for induction motor drive,” IEEE Trans.

Ind. Applicat., Vol.38, No. 5, Sept./Oct. 2002, pp. 1219-1225.

F. Barrero, A. Gonzalez, A,. Torralba, E. Galvan and L. G.Franquelo,

“Speed control of Induction Motors using a novel Fuzzy Sliding Mode

structure,” IEEE Trans. Fuzzy Syst., Vol.10, No.3, June 2002, pp. 375-

Y. Lai and J. Lin, “New hybrid Fuzzy controller for Direct Torque

Control Induction Motor drives,” IEEE Trans. Power Electron., Vol. 18,

No. 5, Sept. 2003, pp. 1211-1219

F. Lin, W. Chou and P. Huang, “Adaptive sliding mode controller based

on real time genetic algorithm for induction motor servo drive,” IEE

Proc. Electr. Power Appl., Vol.150, No.1, Jan.2003, pp. 1-13.

O. Barambones, A.J. Garrido, F.J. Maseda and P. Alkorta, “An adaptive

sliding mode control law for Induction Motor Using field oriented

control theory,” Proc. IEEE International Conf. on Control Applications,

, pp. 1008-1013.

J. Lo and Y. Kuo, “Decoupled Fuzzy Sliding Mode Control,” IEEE

Trans. Fuzzy Syst., Vol.6, No. 3, Aug. 1998, pp. 426-435.

P.Vas, Artificial-Intelligence-Based Electrical Machines and Drives-

Application of Fuzzy, Neural, Fuzzy-Neural and Genetic Algorithm

Based Techniques. New York: Oxford University Press, 1999.

V. I. Utkin, “Sliding Mode control design principles and applications to

electric drives,” IEEE Trans. Ind. Electron., Vol. 40, No. 1, Feb. 1993,

pp. 23-36.

W. S. Levine (Ed.), The control handbook, CRC Press, 1996.

K. Shyu and H. Shieh, “A new switching surface sliding mode speed

control for induction motor drive systems,” IEEE Trans. Power

Electron., Vol. 11, No. 4, July 1996, pp. 660-667.

A. Visioli, “Optimal tuning of PI controllers for integral and unstable

processes”, IEE Proceedings – Control Theory and Applications, Vol.1.

No.2, pp.180-184, 2001

Astrom, K.J and T. Hagglund, PI Controllers: Theory, Design, and

Tuning. Instrument Society of America, 1995.


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