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Speed Control of Direct Torque Controlled Induction Motor By using PI, Anti-Windup PI And Fuzzy Logic Controller

Year 2014, , 58 - 63, 01.07.2014
https://doi.org/10.18201/ijisae.58843

Abstract

In this study, comparison between PI controller, fuzzy logic controller (FLC) and an anti-windup PI (PI+AW) controller used for speed control with direct torque controlled induction motor is presented. Direct torque controlled induction motor drive system is implemented in MATLAB/Simulink environment and the FLC is developed using MATLAB/Fuzzy-Logic toolbox. The proposed control strategy is performed different operating conditions. Simulation results, obtained from PI controller, FLC and PI+AW controller showing the performance of the closed loop control systems, are illustrated in the paper. Simulation results show that FLC is more robust than PI and PI+AW controller against parameter variations and FLC gives better performance in terms of rise time, maximum peak overshoot and settling time.

References

  • K. Bose Bimal, “An Adaptive Hysteresis-Band Current Control Technique of a Voltage-Fed PWM Inverter for Machine Drive System,” IEEE Trans. Industrial Electronics, Vol 37, Oct. 1990, pp. 402-408.
  • I. Takahashi and T. Noguchi, “A new quick-response and high efficiency control strategy of an induction motor,” in IEEE Transactions on Industry Application. Volume. IA, No. 5, 1986, pp. 820-827.
  • T. G. Habetler, F. Profumo, M. Pastorelli, and L. M. Tolbert, “Direct torque control of induction machines using space vector modulation,” in IEEE Transactions on Industry Applications. Volume: 28, Issue: 5, 1992, pp. 1045 – 1053.
  • M. Depenhrock. "Direct self-control of inverter-fed machine" IEEE Trans. Power Electron, X988,3:420-429
  • D. Casadei and G.Serra, “Implementation of direct Torque control Algorithme for Induction Motors Based On Discrete Space Vector Modulation,” IEEE Trans. Power Electronics. Vol.15, No.4, July 2002.
  • T. G. Habetler, F. Profumo, M. Pastorelli, and L. M. Tolbert, “Direct torque control of induction machines using space vector modulation,” in IEEE Transactions on Industry Applications. Volume: 28, Issue: 5, 1992, pp. 1045 – 1053.
  • R. Toufouti and H. Benalla, “Direct torque control for induction motor using fuzzy logic,” in ACSE Journal. Volume: 6, Issue: 2, 2006. pp.19-26.
  • R. Toufouti, and H. Benalla, “Direct torque control for induction motor using intelligent techniques,” in Journal of Theoritical and Applied Information Technology. 2007. pp. 35-44.
  • F. Sheidaei, M. Sedighizadeh, S.H. Mohseni-Zonoozi, Y. Alinejad- Beromi, “A fuzzy logic direct torque control for induction motor sensorless drive,” in Universities Power Engineering Conference. 2007. pp. 197-202.
  • Y. Tang and G. Lin, “ Direct Torque control of Induction Motor Based on Self-Adaptive PI Controller,” The 5th International conference on computer Science & Education, Hefei, China. August 24-27, 2010.
  • M. Baishan, L. Haihua, Z. Jinping, “Study of Fuzzy control in Direct Torque Control system,” International Conference on Artificial Intelligence and Computational Intelligence, 2009.
  • N.H. Ab Aziz, A. Ab Rahman, “Simulation on Simulink AC4 model (200HP DTC Induction Motor Drive) Using Fuzzy Logic Controller,” International Conference Computer Applications and Industrial Electronics (ICCAIE) December 5-7, Kuala Lumpu, Malaysia, 2010.
  • I.Ludthe, "The Direct Control of Induction Motors," Thesis, Department of Electronics and Information Technology, University of Glamorgan, May 1998.
  • L. A. Zadeh, “fuzzy sets,” Inform, Control, Vol.8, 1965, pp.338-353.
  • Y.V.Siva Reddy, T.Brahmananda Reddy, M.Vijaya Kumara, “Direct Torque Control of Induction Motor using Robust Fuzzy Variable Structure Controller”, International J. of Recent Trends in Engineering and Technology, Vol.3, No.3, May 2010.
  • Vinod Kumar, and R.R. Joshi, “Hybrid controller based intelligent speed control of induction motor,” Journal of Theoretical and Applied Information Technology (JATIT), 2005,pp-71-75,
  • V Chitra, and R. S Prabhakar,. “Induction Motor Speed Control using Fuzzy Logic Controller”, Proc. of World Academy of Science, Engineering and Technology, Vol. 17, December 2006, pp. 248-253.
  • M. Gaddam, “Improvement in Dynamic Response of Electrical Machines with PID and Fuzzy Logic Based Controllers,” Proceedings of the World Congress on Engineering and Computer Science, WCECS 2007, San Francisco, USA, October 24-26, 2207.
  • M. Sekkeli, C. Yıldız, H. R. Ozcalik, “Fuzzy Logic Based Intelligent Speed Control of Induction Motor Using Experimental Approach” International Symposium on 1Nnovaitons in intelligent SysTems and Applications, Trabzon/Turkey, June 29, July 1, 2009 INISTA
  • K.,Klinlaor, C.,Nontawat, “Improved Speed Control Using Anti-windup PI controller For Direct Torque Control Based on Permanent Magnet Synchronous Motor”,12th International Conference on Control, Automation and Systems, Jeju Island/Korea, 17-21 Oct., 2012.
  • D. Korkmaz, O. G. Koca, Z. H. Akpolat, “Robust Forward Speed Control of a Robotic Fish,” Sixth International Advanced Technologies Symposium, Elazig/Turkey, May 16-18, 2011, pp.33-38.
Year 2014, , 58 - 63, 01.07.2014
https://doi.org/10.18201/ijisae.58843

Abstract

References

  • K. Bose Bimal, “An Adaptive Hysteresis-Band Current Control Technique of a Voltage-Fed PWM Inverter for Machine Drive System,” IEEE Trans. Industrial Electronics, Vol 37, Oct. 1990, pp. 402-408.
  • I. Takahashi and T. Noguchi, “A new quick-response and high efficiency control strategy of an induction motor,” in IEEE Transactions on Industry Application. Volume. IA, No. 5, 1986, pp. 820-827.
  • T. G. Habetler, F. Profumo, M. Pastorelli, and L. M. Tolbert, “Direct torque control of induction machines using space vector modulation,” in IEEE Transactions on Industry Applications. Volume: 28, Issue: 5, 1992, pp. 1045 – 1053.
  • M. Depenhrock. "Direct self-control of inverter-fed machine" IEEE Trans. Power Electron, X988,3:420-429
  • D. Casadei and G.Serra, “Implementation of direct Torque control Algorithme for Induction Motors Based On Discrete Space Vector Modulation,” IEEE Trans. Power Electronics. Vol.15, No.4, July 2002.
  • T. G. Habetler, F. Profumo, M. Pastorelli, and L. M. Tolbert, “Direct torque control of induction machines using space vector modulation,” in IEEE Transactions on Industry Applications. Volume: 28, Issue: 5, 1992, pp. 1045 – 1053.
  • R. Toufouti and H. Benalla, “Direct torque control for induction motor using fuzzy logic,” in ACSE Journal. Volume: 6, Issue: 2, 2006. pp.19-26.
  • R. Toufouti, and H. Benalla, “Direct torque control for induction motor using intelligent techniques,” in Journal of Theoritical and Applied Information Technology. 2007. pp. 35-44.
  • F. Sheidaei, M. Sedighizadeh, S.H. Mohseni-Zonoozi, Y. Alinejad- Beromi, “A fuzzy logic direct torque control for induction motor sensorless drive,” in Universities Power Engineering Conference. 2007. pp. 197-202.
  • Y. Tang and G. Lin, “ Direct Torque control of Induction Motor Based on Self-Adaptive PI Controller,” The 5th International conference on computer Science & Education, Hefei, China. August 24-27, 2010.
  • M. Baishan, L. Haihua, Z. Jinping, “Study of Fuzzy control in Direct Torque Control system,” International Conference on Artificial Intelligence and Computational Intelligence, 2009.
  • N.H. Ab Aziz, A. Ab Rahman, “Simulation on Simulink AC4 model (200HP DTC Induction Motor Drive) Using Fuzzy Logic Controller,” International Conference Computer Applications and Industrial Electronics (ICCAIE) December 5-7, Kuala Lumpu, Malaysia, 2010.
  • I.Ludthe, "The Direct Control of Induction Motors," Thesis, Department of Electronics and Information Technology, University of Glamorgan, May 1998.
  • L. A. Zadeh, “fuzzy sets,” Inform, Control, Vol.8, 1965, pp.338-353.
  • Y.V.Siva Reddy, T.Brahmananda Reddy, M.Vijaya Kumara, “Direct Torque Control of Induction Motor using Robust Fuzzy Variable Structure Controller”, International J. of Recent Trends in Engineering and Technology, Vol.3, No.3, May 2010.
  • Vinod Kumar, and R.R. Joshi, “Hybrid controller based intelligent speed control of induction motor,” Journal of Theoretical and Applied Information Technology (JATIT), 2005,pp-71-75,
  • V Chitra, and R. S Prabhakar,. “Induction Motor Speed Control using Fuzzy Logic Controller”, Proc. of World Academy of Science, Engineering and Technology, Vol. 17, December 2006, pp. 248-253.
  • M. Gaddam, “Improvement in Dynamic Response of Electrical Machines with PID and Fuzzy Logic Based Controllers,” Proceedings of the World Congress on Engineering and Computer Science, WCECS 2007, San Francisco, USA, October 24-26, 2207.
  • M. Sekkeli, C. Yıldız, H. R. Ozcalik, “Fuzzy Logic Based Intelligent Speed Control of Induction Motor Using Experimental Approach” International Symposium on 1Nnovaitons in intelligent SysTems and Applications, Trabzon/Turkey, June 29, July 1, 2009 INISTA
  • K.,Klinlaor, C.,Nontawat, “Improved Speed Control Using Anti-windup PI controller For Direct Torque Control Based on Permanent Magnet Synchronous Motor”,12th International Conference on Control, Automation and Systems, Jeju Island/Korea, 17-21 Oct., 2012.
  • D. Korkmaz, O. G. Koca, Z. H. Akpolat, “Robust Forward Speed Control of a Robotic Fish,” Sixth International Advanced Technologies Symposium, Elazig/Turkey, May 16-18, 2011, pp.33-38.
There are 21 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Hakan Açıkgöz

O. Fatih Kececıoglu This is me

Ahmet Ganı

Mustafa Sekkelı

Publication Date July 1, 2014
Published in Issue Year 2014

Cite

APA Açıkgöz, H., Kececıoglu, O. F., Ganı, A., Sekkelı, M. (2014). Speed Control of Direct Torque Controlled Induction Motor By using PI, Anti-Windup PI And Fuzzy Logic Controller. International Journal of Intelligent Systems and Applications in Engineering, 2(3), 58-63. https://doi.org/10.18201/ijisae.58843
AMA Açıkgöz H, Kececıoglu OF, Ganı A, Sekkelı M. Speed Control of Direct Torque Controlled Induction Motor By using PI, Anti-Windup PI And Fuzzy Logic Controller. International Journal of Intelligent Systems and Applications in Engineering. July 2014;2(3):58-63. doi:10.18201/ijisae.58843
Chicago Açıkgöz, Hakan, O. Fatih Kececıoglu, Ahmet Ganı, and Mustafa Sekkelı. “Speed Control of Direct Torque Controlled Induction Motor By Using PI, Anti-Windup PI And Fuzzy Logic Controller”. International Journal of Intelligent Systems and Applications in Engineering 2, no. 3 (July 2014): 58-63. https://doi.org/10.18201/ijisae.58843.
EndNote Açıkgöz H, Kececıoglu OF, Ganı A, Sekkelı M (July 1, 2014) Speed Control of Direct Torque Controlled Induction Motor By using PI, Anti-Windup PI And Fuzzy Logic Controller. International Journal of Intelligent Systems and Applications in Engineering 2 3 58–63.
IEEE H. Açıkgöz, O. F. Kececıoglu, A. Ganı, and M. Sekkelı, “Speed Control of Direct Torque Controlled Induction Motor By using PI, Anti-Windup PI And Fuzzy Logic Controller”, International Journal of Intelligent Systems and Applications in Engineering, vol. 2, no. 3, pp. 58–63, 2014, doi: 10.18201/ijisae.58843.
ISNAD Açıkgöz, Hakan et al. “Speed Control of Direct Torque Controlled Induction Motor By Using PI, Anti-Windup PI And Fuzzy Logic Controller”. International Journal of Intelligent Systems and Applications in Engineering 2/3 (July 2014), 58-63. https://doi.org/10.18201/ijisae.58843.
JAMA Açıkgöz H, Kececıoglu OF, Ganı A, Sekkelı M. Speed Control of Direct Torque Controlled Induction Motor By using PI, Anti-Windup PI And Fuzzy Logic Controller. International Journal of Intelligent Systems and Applications in Engineering. 2014;2:58–63.
MLA Açıkgöz, Hakan et al. “Speed Control of Direct Torque Controlled Induction Motor By Using PI, Anti-Windup PI And Fuzzy Logic Controller”. International Journal of Intelligent Systems and Applications in Engineering, vol. 2, no. 3, 2014, pp. 58-63, doi:10.18201/ijisae.58843.
Vancouver Açıkgöz H, Kececıoglu OF, Ganı A, Sekkelı M. Speed Control of Direct Torque Controlled Induction Motor By using PI, Anti-Windup PI And Fuzzy Logic Controller. International Journal of Intelligent Systems and Applications in Engineering. 2014;2(3):58-63.