AUTHORS: Souha Boukadida, Soufien Gdaim, Abdellatif Mtibaa

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ABSTRACT: The implementation of Direct Torque Control (DTC) in Induction Motor (IM) drives suffers from complex tuning and overshoots problems. One of the various methods to tackle this problem is the use of intelligent controllers like Neuro Fuzzy Controller (NFC). This paper suggests a new approach, NFC based space vector modulation (SVM), on the direct torque controlled IM and aim of the approach is to overcome high torque ripple disadvantages of conventional DTC. The objective of this paper is to present a new method to implement the algorithm of NEURO FUZZY based SVM-DTC on Field Programmable Gate Array (FPGA). The hardware implementation method is based on Xilinx System Generator (XSG) which a modeling tool developed by Xilinx. This tool can automatically generate the VHDL code without resorting to a painful programming without being obliged to do approximations and more we can visualize the behavior of the machine before implementation which is very important for not damage our machine. The simulation results showed that a significant improvement in the dynamic torque and speed responses when compared to the conventional direct torque control method.

KEYWORDS: Neuro Fuzzy Controller (NFC), Xilinx System Generator (XSG), Direct Torque Control (DTC), Field Programmable Gate Array (FPGA).

REFERENCES:

[1] MW. Naouar, E. Monmasson, AA. Naassani, FPGA-based current controllers for AC machine drives-A review, IEEE Transactions on Industrial Electronics. 2007, pp. 1907- 1925.

[2] JJ. Rodriguez-Andina, MJ. Moure, MD. Valdes, Features, design tools, and application domains of FPGAs, IEEE Transactions on Industrial Electronics, 2007, pp. 1810-1823

[3] N. Li, X. Wei, X. Feng, An improved DTC algorithm for reducing torque ripples of PMSM based on fuzzy logic and SVM, International Conference on Artificial Intelligence and Education (ICAIE), Hangzhou,2010.

[4] Z. Zhang, R. Tang , B. Bai, D. Xie, Novel Direct Torque Control Based on Space Vector Modulation With Adaptive Stator Flux Observer for Induction Motor, IEEE Transactions on Magnetics, Vol.46 , Issue.8, 2010, pp.31-33.

[5] K.N.Achari,B.Gururaj,D.V.AshokKumar,M.V ijaya Kumar, A Novel MATLAB/Simulink Model of PMSM Drive using Direct Torque Control with SVM, IEEE Multimedia Computing and Systems, 2012, pp. 1069- 1075.

[6] B.Metidji, F.Tazrart, A.Azib, N.Taib, T.Rekioua, A New Fuzzy Direct Torque Control Strategy for Induction Machine Based on Indirect Matrix Converter, International Journal of Research and Reviews in Computing Engineering Vol. 1, No. 1, 2011.

[7] V. Chitra , R. S. Prabhakar, Induction motor speed control using fuzzy logic controller, World Academy of Science, Engineering and Technology, 2006.

[8] B. Heber, L. Xu, and Y. Tang, Fuzzy logic enhanced speed control of an indirect fieldoriented induction machine drive, IEEE Transactions on Power Electronics, vol. 12, no. 5, 1997, pp. 772 –778.

[9] L. Hakju, L. Jaedo, and S. Sejin, Approach to fuzzy control of an indirect field-oriented induction motor drives, IEEE International Symposium on Proceedings, vol. 2,2001, pp. 1119 –1123.

[10] HM.Hasanien, FPGA implementation of adaptative ANN controller for speed regulation of permanent stepper motor drives, Energy Conversion and Management. Elsevier Publisher. 2011

[11] M. Dagbagi, L. Idkhajine, E. Monmasson, I.Slama-Belkhodja., FPGA Implementation of Power Electronic Converter Real-Time Model, International Symposium on Power Electronics, Electrical Drives, Automation and Motion. 2012; 658 – 663.

[12] E. MONMASSON, I. BAHRI, L. IDKHAJINE, A. MAALOUF, MW. NAOUAR, Recent Advancements in FPGAbased controllers for AC Drives Application, 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), IEEE. 2012,pp. 8-15.

[13] M. Shahbazi, P. Poure, S. Saadate, MR. Zolghadri, FPGA-Based Reconfigurable Control for Fault-Tolerant Back-toBack Converter without Redundancy, IEEE Transactions on Industrial Electronics, 2013,pp. 3360 - 3371.

[14] K. Jezernik, J. Korelic, R. Horvat, PMSM Sliding Mode FPGA-Based Control for Torque Ripple Reduction, IEEE Transactions on Power Electronics. 2013, pp. 3549 - 3556.

[15] T. Sutikno, NR. Idris, A. Jidin, MN. Cirstea. An Improved FPGA Implementation of Direct Torque Control for Induction Machines. IEEE Transactions on Industrial Informatics. 2013; 9(3): 1272–1279.

[16] B.Singh, S. Jain, and S. Dwivedi, Direct Torque Control Induction Motor Drive with Improved Flux Response, Hindawi Publishing Corporation Advances in Power Electronics, Article ID 764038, Vol.2012, pp.1-11.

[17] Z. BOULGHASOUL and E. ELWARRAKI , A Comparative Study of Rotor Time Constant Online Identification of an Induction Motor Using High Gain Observer and Fuzzy Compensator, WSEAS TRANSACTIONS on SYSTEMS and CONTROL, Vol 7, N°2, pp.37-53, 2012.