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Simulation Study and Speed Control of Permanent Magnet Synchronous Motor By Using Self-Tuning Fuzzy-PID Controller

Year 2015, Volume: 18 Issue: 1, 17 - 22, 11.08.2015
https://doi.org/10.17780/ksujes.98733

Abstract

: In recent years, permanent magnet synchronous motors (PMSM) are widely used in the mid-powerful servo motor drive because of their high power, torque and efficiency. Simualtion study was carried for speed control of PMSM using Matlab/Simulink software package. In this control method, Self-tuning fuzzy-PID controller and PID controller is first designed to apply to speed control unit of PMSM. Self-tuning Fuzzy-PID controller is developed using MATLAB/Simulink Fuzzy Logic Toolbox. Simulation studies are implemented for both of the controllers under same conditions. The results obtained from conventional PID controller and Self-tuning fuzzy-PID controller are analyzed and compared according todisturbance effects such as tracing different references speed and load torque. According to obtained simulation results, it is observed that Self-tuning fuzzy-PID controller provides better speed response than PID controller.

References

  • S.A.Nasar, I. Boldea, and L. E. Unnewhr, Permament magnet, reluctance and self- synchronous motors, CRC Pres, New York 1993.
  • Spooner E, Chalmers BJ, El-Missiry MM, Wei W, Renfrew AC. Motoring Performance of the Toroidal Permanent Magnet Machine. 5th IEEE International Conference on Electrical Machines and Drives, pp. 36–40, 1991.
  • Bogani T, Lidozzi A, Solero L, Di Napoli A. Synergetic control of PMSM drives for high dynamic applications. IEEE Conf. Electric Machines and Drives, pp. 710–717, Dec., 2005.
  • Bose, B. K., Modern Power Electronics and AC Drives, Prentice-Hall, Upper Saddle River,NJ, 2002.
  • Ozcira, S., Bekiroglu, N., Aycicek E., “Speed Control of Permanent Magnet Synchronous Motor Based on Direct Torque Control Method, Proceedings on International Symposium on Power Electronics, Electrical Drives, Automation and Motion SPEEDAM, pp. Ischia, 268-272, 2008.
  • Boldea, I., Nasar, S.A., Vector Control of AC Drives, CRC Pres, New York, 1992.
  • F.Blaschke., “The principle of field orientation as applied to the new Transvector closed loop control system for rotating field machines,” Siemens Rev., vol. 34, pp. 217–220, 1972.
  • Y. S. Lai, “ Machine Modeling and Universal Controller for Vector Controlled Induction Motor Drives,” in Proc. IEEE con.,Vol.18,No.1,March.2003. Trans.energy
  • Y. S. Lai, J. H. Chen, and C. H. Liu, “A universal vector controller for induction motor drives fed by voltage-controlled voltage source inverter,” in Proc. IEEE Power Eng. Soc. Summer Meeting, 2000, pp. 2493–2498
  • Y. S. Lai., “Modeling and vector control of induction machine-a new unified approach,” in Proc. IEEE Power Eng. Soc. Winter Meeting, 1999, pp. 47–52.
  • L. A. Zadeh, “fuzzy sets,” Inform, Control, Vol.8, pp.338-353, 1965.
  • Ross, T. J., “Fuzzy Logic with Engineering Applications”, McGraw-Hill Inc., ISBN 0-07- 053917-0, 1995.
  • Dandıl B., Gökbulut M., “Sabit Mıknatıslı Senkron
  • Motorların Bulanık Sinir Ağı Denetleyici ile Dayanıklı Hız Denetimi”, F. Ü. Fen ve Mühendislik Bilimleri Dergisi, 16(4), 725-734, 2004
  • G. Zigeler, N.B. Nichols, “Optimization Setting for Automatic Controller”, Trans. ASME, Vol. 64, pp. 756- 769, 1942.
  • L. A. Zadeh, “Fuzzy sets,” Inform, Control, Vol.8, 1965, pp.338-353.
  • D. Hu, Linhang Li, “The research of fuzzy PID controller based on DSP”, Sichuan: Xihua University, pp. 21-24, 2007.
  • Gunes Mahit, “Fuzzy and three-step control of refiner system to get stable freeness for recycled paper” Scientific Research and Essays Vol. 6(1), pp. 110-117, 4 January, 2011.
  • J. Kim, S. Oh, “A Fuzzy PID Controller for Nonlinear and Uncertain. Systems”, Soft Computing, 4: 123-129, 2000.
  • Zhiqiang Gao, Thomas A. Trautzsch and James G. Dawson, “A Stable Self-Tuning Fuzzy Logic Control Regulation”, Industry Application IEEE, Vol.38 No.2, pg 414-424, 2002.
  • Cao G., Lou C., and D. An, “Application of fuzzy self-tuning PID control to air conditioning system”, Heat Ventilating and Air Conditioning, vol. 34, No.10, 106-109, October 2004.
  • Açıkgöz H., Keçeioğlu O.F, Güneş M., Şekkeli M.,
  • “Simulation Study Of Hydraulic Turbine By Using Self-Tuning Fuzzy PID Controller”,Academic Platform Journal of Engineering and Science, Vol.3-1, 2015.

Sürekli Mıknatıslı Senkron Motorların Öz-Ayarlamalı Bulanık-PID Denetleyici ile Benzetim Çalışması ve Hız Denetimi

Year 2015, Volume: 18 Issue: 1, 17 - 22, 11.08.2015
https://doi.org/10.17780/ksujes.98733

Abstract

Son yıllarda sürekli mıknatıslı senkron motorlar (SMSM) yüksek güç, moment ve verim gibi üstünlüklerinden dolayı küçük ve orta güçlü servo motor sürücülerinde yaygın olarak kullanılmaktadır.Bu çalışmada, vektör denetim yöntemi uygulanan bir SMSM’un hız denetim çalışması Matlab/Simulink paket programı yardımıyla gerçekleştirilmiştir.Bu denetim yönteminde, ilk olarak Öz-ayarlamalı bulanık-PID denetleyici ve PID debetleyici SMSM'nin hız denetim birimine uygulanmak için tasarlanmıştır.Öz-ayarlamalı bulanık-PID denetleyici MATLAB/Simulink-Fuzzy Logic Toolbox yardımıyla tasarlanmıştır.Her iki denetleyici için aynı koşullar altında benzetim çalışmaları gerçekleştirilmiştir. PID denetleyiciden ve Öz-ayarlamalı bulanık-PID denetleyiciden elde edilen sonuçlar, referans hızı izleme, yük momenti gibi bozucu etkenlere göre incelenmiş ve karşılaştırılmıştır. Elde edilen benzetim sonuçlarına göre Öz-ayarlamalı bulanık-PID denetleyici PID denetleyiciye göre daha iyi hız cevabı verdiği gözlemlenmiştir

References

  • S.A.Nasar, I. Boldea, and L. E. Unnewhr, Permament magnet, reluctance and self- synchronous motors, CRC Pres, New York 1993.
  • Spooner E, Chalmers BJ, El-Missiry MM, Wei W, Renfrew AC. Motoring Performance of the Toroidal Permanent Magnet Machine. 5th IEEE International Conference on Electrical Machines and Drives, pp. 36–40, 1991.
  • Bogani T, Lidozzi A, Solero L, Di Napoli A. Synergetic control of PMSM drives for high dynamic applications. IEEE Conf. Electric Machines and Drives, pp. 710–717, Dec., 2005.
  • Bose, B. K., Modern Power Electronics and AC Drives, Prentice-Hall, Upper Saddle River,NJ, 2002.
  • Ozcira, S., Bekiroglu, N., Aycicek E., “Speed Control of Permanent Magnet Synchronous Motor Based on Direct Torque Control Method, Proceedings on International Symposium on Power Electronics, Electrical Drives, Automation and Motion SPEEDAM, pp. Ischia, 268-272, 2008.
  • Boldea, I., Nasar, S.A., Vector Control of AC Drives, CRC Pres, New York, 1992.
  • F.Blaschke., “The principle of field orientation as applied to the new Transvector closed loop control system for rotating field machines,” Siemens Rev., vol. 34, pp. 217–220, 1972.
  • Y. S. Lai, “ Machine Modeling and Universal Controller for Vector Controlled Induction Motor Drives,” in Proc. IEEE con.,Vol.18,No.1,March.2003. Trans.energy
  • Y. S. Lai, J. H. Chen, and C. H. Liu, “A universal vector controller for induction motor drives fed by voltage-controlled voltage source inverter,” in Proc. IEEE Power Eng. Soc. Summer Meeting, 2000, pp. 2493–2498
  • Y. S. Lai., “Modeling and vector control of induction machine-a new unified approach,” in Proc. IEEE Power Eng. Soc. Winter Meeting, 1999, pp. 47–52.
  • L. A. Zadeh, “fuzzy sets,” Inform, Control, Vol.8, pp.338-353, 1965.
  • Ross, T. J., “Fuzzy Logic with Engineering Applications”, McGraw-Hill Inc., ISBN 0-07- 053917-0, 1995.
  • Dandıl B., Gökbulut M., “Sabit Mıknatıslı Senkron
  • Motorların Bulanık Sinir Ağı Denetleyici ile Dayanıklı Hız Denetimi”, F. Ü. Fen ve Mühendislik Bilimleri Dergisi, 16(4), 725-734, 2004
  • G. Zigeler, N.B. Nichols, “Optimization Setting for Automatic Controller”, Trans. ASME, Vol. 64, pp. 756- 769, 1942.
  • L. A. Zadeh, “Fuzzy sets,” Inform, Control, Vol.8, 1965, pp.338-353.
  • D. Hu, Linhang Li, “The research of fuzzy PID controller based on DSP”, Sichuan: Xihua University, pp. 21-24, 2007.
  • Gunes Mahit, “Fuzzy and three-step control of refiner system to get stable freeness for recycled paper” Scientific Research and Essays Vol. 6(1), pp. 110-117, 4 January, 2011.
  • J. Kim, S. Oh, “A Fuzzy PID Controller for Nonlinear and Uncertain. Systems”, Soft Computing, 4: 123-129, 2000.
  • Zhiqiang Gao, Thomas A. Trautzsch and James G. Dawson, “A Stable Self-Tuning Fuzzy Logic Control Regulation”, Industry Application IEEE, Vol.38 No.2, pg 414-424, 2002.
  • Cao G., Lou C., and D. An, “Application of fuzzy self-tuning PID control to air conditioning system”, Heat Ventilating and Air Conditioning, vol. 34, No.10, 106-109, October 2004.
  • Açıkgöz H., Keçeioğlu O.F, Güneş M., Şekkeli M.,
  • “Simulation Study Of Hydraulic Turbine By Using Self-Tuning Fuzzy PID Controller”,Academic Platform Journal of Engineering and Science, Vol.3-1, 2015.
There are 23 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

Hakan Açıkgöz

Mustafa Şekkeli

Ahmet Gani

Ö.fatih Keçecioğlu

Publication Date August 11, 2015
Submission Date April 28, 2015
Published in Issue Year 2015Volume: 18 Issue: 1

Cite

APA Açıkgöz, H., Şekkeli, M., Gani, A., Keçecioğlu, Ö. (2015). Simulation Study and Speed Control of Permanent Magnet Synchronous Motor By Using Self-Tuning Fuzzy-PID Controller. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 18(1), 17-22. https://doi.org/10.17780/ksujes.98733

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