Skip to main content
SpringerLink
Log in

Design of a Fuzzy Logic-based MPPT Controller for a PV System Employing Sensorless Control of MRAS-based PMSM

  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

The permanent magnet synchronous motors (PMSM) are widely employed in industrial, robotic, water pumping and HVAC applications due to their numerous benefits such as small size, high-energy efficiency, high performance, low inertia and the ability to operate in full load at low speeds. In case the PMSM drive system is supplied from photovoltaic (PV) modules, it can be a perfect match for water pumping or HVAC applications. In such a system, in order to extract full energy from PV modules, a maximum power point tracking (MPPT) algorithm must be employed. This article presents a PV system-fed PMSM drive system with sensorless speed control. The proposed system consists of two main parts. The first part deals with MPPT algorithm based on fuzzy logic controller and the second part deals with PMSM drive system with a sensorless speed estimator by using Model Reference Adaptive System (MRAS) approach to eliminate the use of an encoder. The operation of PMSM is accomplished by using the vector control method to obtain a similar dynamic of the DC motor. The overall system is modelled in Matlab/Simulink environment and simulation results are collected under various operating conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. M. Dubey, S. Sharma, and R. Saxena, “Solar PV standalone water pumping system employing PMSM drive,” Proc. of Conference on Electrical, Electronics and Computer Science, pp. 1–6, 2014.

    Google Scholar 

  2. R. Teodorescu, M. Liserre, and P. Rodriguez, Grid Converters for Photovoltaic and Wind Power Systems, 1st ed., John Wiley, U.K., 2011.

    Book  Google Scholar 

  3. M. G. Villalva, J. R. Gazoli, and E. R. Filho, “Comprehensive approach to modeling and simulation of photovoltaic arrays,” IEEE Trans. Power Electronics, vol. 24, no. 5, pp. 1198–1208, Mar. 2009.

    Article  Google Scholar 

  4. W. J. A. Teulings, J. C. Marpinard, A. Capel, and D. O’Sullivan, “A new maximum power point tracking system,” Proc. of IEEE Power Electronics Specialist Conference - PESC’ 93, Jun. 1993.

    Google Scholar 

  5. R. Wongsathan and A. Nuangnit, “Optimal hybrid neurofuzzy based controller using MOGA for photovoltaic (PV) battery charging system,” International Journal of Control, Automation and Systems, vol. 16, no. 3036, pp. 3036–3046, 2018.

    Article  Google Scholar 

  6. P. Takun, S. Kaitwanidvilai, and C. Jettanasen, “Maximum power point tracking using fuzzy logic control for photovoltaic systems,” Proc. of the International Multi Conference of Engineers and Computer Scientists, vol. II, March 2011.

  7. Y. Y. Hong, A. A. Beltran, and A. C. Paglinawan, “Realtime simulation of maximum power point tracking control using fuzzy logic for stand alone PV system,” Proc. of the IEEE 3rd International Future Energy Electronics Conference and ECCE Asia, pp. 710–715, 2017.

    Google Scholar 

  8. D. N. M. Abadi and M. H. Khooban, “Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots,” Journal of King Saud University - Engineering Sciences, vol. 27, no. 1, pp. 92–100, 2015.

    Article  Google Scholar 

  9. M. H. Khooban, T. Dragicevic, F. Blaabjerg, and M. Delimar, “Shipboard microgrids: a novel approach to load frequency control,” IEEE Transactions on Sustainable Energy, vol. 9, no. 2, pp. 843–852, 2018.

    Article  Google Scholar 

  10. Y. Gao, F. Xiao, J. Liu, and R. Wang, “Distributed soft fault detection for interval type-2 fuzzy-model-based stochastic systems with wireless sensor networks,” IEEE Transactions on Industrial Informatics, vol. 1, no. 1, 2018.

    Google Scholar 

  11. H. K. Lam, H. Li, C. Deters, E. L. Secco, H. A. Wurdemann, and K. Althoefer, “Control design for interval type-2 fuzzy systems under imperfect premise matching,” IEEE Transactions on Industrial Electronics, vol. 61, no. 2, pp. 956–968, 2014.

    Article  Google Scholar 

  12. H. Li, Y. Gao, L. Wu, and H. K. Lam, “Fault detection for T-S fuzzy time-delay systems: delta operator and inputoutput methods,” IEEE Transactions on Cybernetics, vol. 45, no. 2, pp. 229–241, 2015.

    Article  Google Scholar 

  13. M. H. Khooban, T. Niknam, F. Blaabjerg, P. Davari, and T. Dragicevic, “A robust adaptive load frequency control for micro-grids,” ISA Transactions, vol. 65, pp. 220–229, 2016.

    Article  Google Scholar 

  14. X. Wang and S. Wang, “Adaptive fuzzy robust control of PMSM with smooth inverse based dead-zone compensation,” International Journal of Control, Automation and Systems, vol. 14, no. 2, pp. 378–388, 2016.

    Article  Google Scholar 

  15. S. Wu and J. Zhang, “A terminal sliding mode observer based robust backstepping sensorless speed control for interior permanent magnet synchronous motor,” International Journal of Control, Automation and Systems, vol. 16, no. 2743, pp. 2743–2753, 2018.

    Article  Google Scholar 

  16. O. Benjak and D. Gerling, “Review of position estimation methods for IPMSM drives without a position sensor part II: adaptive methods,” Proc. of the XIX International Conference on Electrical Machines, pp. 1–6, 2010.

    Google Scholar 

  17. Z. Lu, H. Sheng, H. L. Hess, and K. M. Buck, “Control of a permanent magnet synchronous motor with a fuzzy sliding-mode controller,” Proc. of the IEEE International Conference on Electric Machines and Drives, pp. 1156–1162, 2005.

    Google Scholar 

  18. C.-F. J. Kuo, C.-H. Hsu, and C.-C. Tsai, “Control of a permanent magnet synchronous motor with a fuzzy slidingmode controller,” The International Journal of Advanced Manufacturing Technology, vol. 32, no. 7–8, pp. 757–763, April 2007.

    Article  Google Scholar 

  19. S. Ozcira, Permanent Magnet Synchronous Motor Control Methods and Industrial Applications, Master’s thesis, Technical University of Yildiz, 2008.

    Google Scholar 

  20. E. Oksuztepe and H. Kurum, “V/F control with fuzzy logic controller of permanent magnet synchronous motor,” University of Firat, Journal of Engineering Sciences, vol. 21, no. 2, pp. 95–101, May 2009.

    Google Scholar 

  21. C. S. Spiteri, J. Cilia, B. Micallef, and M. Apap, “Sensorless vector Control of a surface mounted PMSM using high frequency injection,” Proc. of the International Conference on Power Electronics, Machines and Drives, pp. 44–48, 2002.

    Chapter  Google Scholar 

  22. C. Elmas, O. Ustun, and H. H. Sayan, “A neuro-fuzzy controller for speed control of a permanent magnet synchronous motor drive,” Expert Systems with Applications, vol. 34, no. 1, pp. 657–664, 2008.

    Article  Google Scholar 

  23. N. Ozturk and E. Celik, “Speed control of permanent magnet synchronous motors using fuzzy controller based on genetic algorithms,” International Journal of Electrical Power & Energy Systems, vol. 43, issue 1, pp. 889–898, 2012.

    Article  Google Scholar 

  24. B. Pakkiraiah and G. D. Sukumar, “A new modified MPPT controller for improved performance of an asynchronous motor drive under variable irradiance and variable temperature,” International Journal of Computers and Applications, vol. 38, issue 2–3, pp. 61–74, 2016.

    Article  Google Scholar 

  25. A. A. Kulaksiz and R. Akkaya, “A genetic algorithm optimized ANN-based MPPT algorithm for a stand-alone PV system with induction motor drive,” International Journal of Solar Energy, vol. 86, no. 9, pp. 2366–2375, 2012.

    Article  Google Scholar 

  26. R. Kumar and B. Singh, “Single stage solar PV fed brushless DC motor driven water pump,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 5, no. 3, pp. 1377–1385, Sept. 2017.

    Article  Google Scholar 

  27. R. Akkaya, A. A. Kulaksiz, and O. Aydogdu, “DSP implementation of a PV system with GA-MLP-NN based MPPT controller supplying BLDC motor drive,” Energy Conversion and Management, vol. 48, no. 1, pp. 210–218, Jan. 2007.

    Article  Google Scholar 

  28. M. Rakhshan, N. Vafamand, M.-H. Khooban, and F. Blaabjerg, “Maximum power point tracking control of photovoltaic systems: a polynomial fuzzy model-based approach,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 6, no. 1, pp.292–299, 2018.

    Article  Google Scholar 

  29. M. Kumar, S. Kapoor, R. Nagar, and A. Verma, “Comparison between IC and fuzzy logic MPPT algorithm based solar PV system using boost converter,” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 4, no. 6, pp. 4927–4939, June 2015.

    Article  Google Scholar 

  30. S. Soltani and M. J. Kouhanjani, “Fuzzy logic type-2 controller design for MPPT in photovoltaic system,” Proc. of the 22nd Electrical Power Distribution Conference (EPDC), pp. 149–155, 2017.

    Google Scholar 

  31. S. Maiti, C. Chakraborty, and S. Sengupta, “Simulation studies on model reference adaptive controller based speed estimation technique for the vector controlled permanent magnet synchronous motor drive,” Simulation Modelling Practice and Theory, vol. 17, no. 4, pp. 585–596, 2009.

    Article  Google Scholar 

  32. Y. D. Landau, Adaptive Control: The Model Reference Approach, Marcell Dekker, inc, pp. 44–49, 1979.

    Google Scholar 

  33. Q. Yuan, Z. Yang, L. Cui, T. Hu, and F. Lin, “A position estimation method based on modified integrator of PMSM sensorless control for high-speed vehicles,” Proceedings of the 1st International Workshop on High-Speed and Intercity Railways. Lecture Notes in Electrical Engineering, vol. 148, Springer, Berlin, Heidelberg, 2012.

  34. A. Rahimi, F. Bavafa, S. Aghababaei, M. H. Khooban, and S. V. Naghavi, “The online parameter identification of chaotic behaviour in permanent magnet synchronous motor by self-adaptive learning bat-inspired algorithm,” International Journal of Electrical Power & Energy Systems, vol. 78, pp. 285–291, 2016.

    Article  Google Scholar 

  35. J. Hu, J. Liu, and L. Xu, “Eddy current effects on rotor position estimation and magnetic pole identification of PMSM at zero and low speeds,” IEEE Transactions on Power Electronics, vol. 23, no. 5, pp. 2565–2575, 2008.

    Article  Google Scholar 

  36. J. Hu, L. Xu, and J. Liu, “Magnetic Pole Identification for PMSM at Zero Speed Based on Space Vector PWM,” Proc. of CES/IEEE 5th International Power Electronics and Motion Control Conference, 2006.

    Google Scholar 

  37. D.-F. Chen, T.-H. Liu, and C.-K. Hung, “Design and implementation of a sensorless PMSM drive including standstill starting,” Proc. of 30th Annual Conference of IEEE Industrial Electronics Society (IECON 2004), 2004.

    Google Scholar 

  38. J. M. Liu and Z. Q. Zhu, “Influence of stator current and machine saliency on sensorless control performance based on third-harmonic back-EMF,” Proc. of 7th IET International Conference on Power Electronics, Machines and Drives, 2014.

    Google Scholar 

  39. X. Wu, H. Wang, S. Huang, K. Huang, and L. Wang, “Sensorless speed control with initial rotor position estimation for surface mounted permanent magnet synchronous motor drive in electric vehicles,” Energies, vol. 8, no. 10. pp. 11030–11046, 2015.

    Article  Google Scholar 

  40. Y. Cai and H. Ma, “Sensorless speed control of PMSM based on improved MRAS method,” Proc. of China International Electrical and Energy Conference (CIEEC), pp. 210–214, Beijing, China, October 2017.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineering, Konya Technical University, Konya, Turkey

    Abbas Mahmood Oghor Anwer & Ahmet Afsin Kulaksiz

  2. Department of Electrical and Electronics Engineering, Selcuk University, Konya, Turkey

    Fuad Alhaj Omar

Authors
  1. Abbas Mahmood Oghor Anwer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fuad Alhaj Omar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ahmet Afsin Kulaksiz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ahmet Afsin Kulaksiz.

Additional information

Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Associate Editor Kwang-Kyo Oh under the direction of Editor Euntai Kim.

Abbas Mahmood Oghor Anwer received his B.S. degree in electrical power engineering technology from Northern Technical University, Iraq, in 2010, and an M.S. degree in Electronics and Communication Engineering from Cankaya University, Turkey, in 2012. He is currently a Ph.D. student in Konya Technical University. His current research interests include renewable energy, power electronics, electrical machines and drives.

Fuad Alhaj Omar received his M.S. and Ph.D. degrees in Electronic Engineering from the University of Aleppo in 2009 and 2014, respectively. Upon completion of his Ph.D., he started conducting the second PhD at Selcuk University, Turkey. During the summer of 2019, he was a visiting scholar in the School of Engineering and Materials Science, Queen Mary University of London, UK. His research interests include renewable energy, power electronics and control systems and automation.

Ahmet Afsin Kulaksiz received his B.S., M.S., and Ph.D. degrees in Electrical and Electronics Engineering from Selcuk University, Turkey, in 1998, 2001, and 2007, respectively. He is currently an associate professor at Konya Technical University, Turkey. His current research interests include renewable energy, power electronics, electrical machines and drives.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anwer, A.M.O., Omar, F.A. & Kulaksiz, A.A. Design of a Fuzzy Logic-based MPPT Controller for a PV System Employing Sensorless Control of MRAS-based PMSM. Int. J. Control Autom. Syst. 18, 2788–2797 (2020). https://doi.org/10.1007/s12555-019-0512-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-019-0512-8

Keywords

Search

Navigation