Fuzzy speed controller of induction machine with 36 sectors DTC based ANFIS hysteresis comparator
In this work, a Direct Torque Control (DTC), with 36 sectors of the Induction Motor (IM) drive controlled by intelligent regulators, is proposed. The proposed command scheme uses the electromagnetic torque errors through an Adaptive Neuro-Fuzzy Inference System (ANFIS) and the classic PI speed regulator based on the Fuzzy Logic (FL) regulator. Simulation results by using ANFIS and FL regulators are compared to the results obtained by using conventional DTC systems with 36 sectors. The simulation results of DTC command with intelligent regulators showed the reduction in the electromagnetic torque, Total Harmonic Distortion (THD) value of stator current, and stator flux ripple and the validity of the proposed control system.
 F. Benezzek, W. Bourbia, B. Bensaker, “Flatness based nonlinear sensorless control of induction motor systems,” International Journal of Power Electronics and Drive Systems, Vol. 7, No. 1, pp. 265-278, 2016.
 P. Rajasekaran, V. J. Senthilkumar, “An Improved DTFC based five levels-NPC inverter fed induction motor for torque ripple minimization,” International Journal of Power Electronics and Drive Systems, Vol. 7, No. 2, pp. 531-542, 2016.
 S. Ramahlingam, A. Bin Jidin, T. Sutikno, L. L. Raj, “Improvise 3-level DTC of induction machine using constant switching frequency method by utilizing multiband carrier,” International Journal of Power Electronics and Drive Systems, Vol. 7, No.3, pp. 638-647, 2016.
 A. Idir, M. Kidouche, “Direct torque control of three phase induction motor drive using fuzzy logic controllers for low torque ripple,” Proceedings Engineering & Technology, Vol. 2, pp. 78-83, 2013.
 H. G. Zaini, M. K. Metwally, M. Ahmed, “Direct torque control of induction motor drive fed from hybrid multilevel inverter,” International Journal of Electrical & Computer Science, Vol. 14, No.3, pp. 6-11, 2014.
 F. Kadri, S. Drid, F. Djeffal, “ Direct torque control of induction motor fed by three-level NPC inverter using fuzzy logic,” International Conference on Systems and Processing Information, May 15-17, Guelma, Algeria, 2011.
 N. M. Nordin, N. A. Azli, N. R. Nik. Idris, N. H. Ramlan, “Constant frequency torque controller for DTC with multilevel inverter of induction machines,” International Journal of Power Electronics and Drive System, Vol. 7, No.1, pp. 28-44, 2016.
 E. Benyoussef, A. Meroufel, S. Barkat, “Three-level DTC based on Fuzzy logic and neural network of sensorless DSSM using extende kalman filtre,” International Journal of Power Electronics and Drive System (IJPEDS), Vol. 5, No.4, pp. 453-463, 2015.
 T. S. Ahmed, S. Sao, K. S. R. Anjaneyulu, “DTC of twelve sector IM drive using four level hysteresis control to reduce torque ripple comparing with conventional control,” International Journal of Engineering Research and Applications, Vol. 3, No.1, pp.115-120, 2013.
 Y. B. Goswami, S. M. Deshmukh, “Adaptive neuro fuzzy inference based direct torque control strategy for robust speed control of induction motor under highly variable load conditions,” International Journal of Science and Research, Vol. 14, No.12, pp.1273-1277, 2015.
 H. Benbouhenni, “Comparateur à hysteresis à sept niveaux pour la commande DTC basée sur les techniques de l’intelligence artificielle de la MAS,” Journal of Advanced Research in Science and Technology, Vol. 4, No.2, pp. 553-569, 2017.
 A. Meroufel, S. Massoum, A. Bentaallah, P. Wira, “Double star induction motor direct torque control with fuzzy sliding mode speed controller,” Rev. Roum. Sci. Techn.-Electrotechn. Et Energ, Vol. 62, No.1, pp. 31-35, 2017.
 J. A. Gallardo, J. L. Diaz, A. Pardo, “Partial Swarm optimization to minimize THD in multilevel inverters,” International Journal of Circuits and Electronics, Vol. 2, pp. 22-29, 2017.
 A. Kumar, B. Kumar, “Direct torque control of induction motor drives fed from multilevel inverter: A review,” International Journal of Latest Research in Science and Technology, Vol. 5, No. 5, pp. 11-15, 2016.
 H. Benbouhenni, T. Rachid, Z. Boudjema, “Régulateurs PI-flou et hystérésis neuronale pour la commande DTC cinq niveaux à 12 secteurs d’un moteur asynchrone,” 5 ème Conference Internationale en Automatique & Traitement de Signal (ATS-2017), Mars 21-23, Sousse Tunisie, 2017.
 T. Abdelkrim, K. Benamrane, Aeh. Benkhelifa, E. M. Berkouk, T. Benslimane, “Modeling and control of three-phase multilevel shunt active power filter for medium voltage applications,” African Review of Science, Technology and Development, Vol. 1, No. 1, pp. 16-25, 2016.
 H. Benbouhenni, R. Taleb, “Etude comparative entre la DTC neuronale à sept niveaux et la DTC neuronale à cinq niveaux de la machine asynchrone,” 1st Algerian Multi-Conference on Computer, Electrical and Electronic Engineering (AMCEE’17) 24-27 April, Algiers, Algeria, 2017.
 A. Chikhi, “Direct torque control of induction motor based on space vector modulation using a fuzzy logic speed controller,” Jordan Journal of Mechanical and Industrial Engineering, Vol. 8, No.3, pp. 169-176, 2014.
 A. Tahour, H. Abid, A. G. Aissaoui, M. Abid, “Fuzzy controller of switched reluctance motor,” Acta Electrotehnica, Vol. 47, No. 3, pp. 124-131, 2006.
 H. Sudheer, SF. Kodad, B. Sarvesh, “Improved fuzzy logic based DTC of induction machine for wide range of speed control using AI based controllers,” Journal of Electrical Systems, Vol. 12, No. 2, pp. 301-314, 2016.
L. Youb, A. Craciumescu, “Direct torque control of induction motors with fuzzy minimization torque ripple,” Proceedings of the World Congress on Engineering and Computer Science, Vol. 2, 2009.
M. Abdelhafidh, “Stratégies de commande DTC-SVM et DPC appliquées à une MADA utilisée pour la production d’énergie éolienne,” Thèse de Doctorat, Ecole Nationale Polytechnique, Alger, 2014.
 H. Benbouhenni, “Nouvelle approche de la commande DTC modifié par les techniques de l’intelligence artificielle d’une machine asynchrone,” Journal of Advanced Research in Science and Technology, Vol. 4, No. 2, pp. 509-528, 2017.
 E. Al-Radadi, “Direct torque control neuro fuzzy speed control of an induction machine drive based on a new variable gain PI controller,” Journal of Electrical Engineering, Vol. 59, No. 4, pp. 210-215, 2008.
 M. R. Douiri, M. Cherkaoui, “Comparative study of various artificial intelligence approches applied to direct torque control of induction motor drives,” Front. Energy, Vol. 7, No.4, pp. 456-467, 2013.