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Sensorless control application of PMSM with a novel adaptation mechanism

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Abstract

This paper proposes a novel adaptation design to replace the classical proportional-integral controller used in model reference adaptive system (MRAS) speed estimation. The proposed adaptation scheme is an association of two fuzzy units. The rules of each module were obtained by user experience and numerical data. In the traditional fuzzy logic controllers, the computational complication enhances with the attributes of the system variable quantities; the number of rules increases incrementally while the number of control variables increases. This negatively affects the response time of the system. This novel design was deduced to reduce the number of rules for a linear function of system variables. By this way, the response of the system became faster. Detailed simulation and experimental results were obtained for comparison of this novel method with traditional MRAS techniques. The results showed that the proposed method was faster in speed tracking and exhibited higher prediction accuracy and less oscillation than the traditional method. Thus, the proposed MRAS method was clearly seen to be applicable and reliable.

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References

  1. Singh B, Singh BP, Dwivedi S (2009) A review of sensor reduction techniques in permanent magnet synchronous motor drives. Int J Power Energy Syst 29:10–18

    Google Scholar 

  2. Genduso F, Miceli R, Rando C, Galluzzo GR (2010) Back EMF sensorless-control algorithm for high-dynamic performance PMSM. IEEE Trans Ind Electron 57:2092–2100

    Article  Google Scholar 

  3. Morimoto S, Kawamoto K, Sanada M, Takeda Y (2002) Sensorless control strategy for salient-pole PMSM based on extended EMF in rotating reference frame. IEEE Trans Ind Appl 38:764–771

    Article  Google Scholar 

  4. Bolognani S, Tubiana L, Zigliotto M (2003) Extended Kalman filter tuning in sensorless PMSM drives. IEEE Trans Ind Appl 39:1741–1747

    Article  Google Scholar 

  5. Faten G, Lassaâd S (2009) Speed sensorless IFOC of PMSM based on adaptive Luenberger observer. Int J Electr Electron Eng 2:1

    Google Scholar 

  6. Liang Y, Li Y (2003) Sensorless control of PM synchronous motors based on MRAS method and initial position estimation. In: Proceedings of sixth international on electrical machines and systems conference, pp 96–99

  7. Zhifu W, Qizhi T, Chengning Z (2009) Speed identification about PMSM with MRAS. In: Proceedings of power electronics and motion control conference, pp 1880–1884

  8. Sam KY, Kim SK, Kwon YA (2003) MRAS based sensorless control of permanent magnet synchronous motor. In: Proceedings of SICE Annual conference, pp 1632–1637

  9. Kojabadi HM, Ghribi M (2006) MRAS-based adaptive speed estimator in PMSM drives. In: Proceedings of advanced motion control conference, pp 569–572

  10. Liu K, Zhang Q, Zhu ZQ, Zhang J, Shen AW, Stewart P (2010) Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors. Int J Autom Comput 7(4):516–524

    Article  Google Scholar 

  11. Xingming Z, Xuhui W, Feng Z, Xinhua G, Peng Z (2010) Wide-speed-range sensorless control of Interior PMSM based on MRAS. In: IEEE 2010 international conference on electrical machines and systems (ICEMS), pp 804–808

  12. Khlaief A, Boussak M, Chaari A (2014) A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive. Electr Power Syst Res 108:1–15

    Article  Google Scholar 

  13. Jain M, Singh M, Chandra A, Williamson SS (2011) Sensorless control of permanent magnet synchronous motor using ANFIS based MRAS. In: 2011 IEEE international electric machines and drives conference (IEMDC), pp 599–606

  14. Adam AA, Gulez K (2008) Fast response adaptive fuzzy logic controller for sensorless direct torque control of PMSM with minimum torque ripple. COMPEL 27(2):534–550

    Article  MATH  Google Scholar 

  15. Liu X, Wang B (2006) ANN observer of permanent magnet synchronous motor based on SVPWM. In: Proceedings of IEEE international conference on intelligent systems design and applications, Jinan, pp 95–100

  16. Fan S, Luo W, Zou J, Zheng G (2012) A hybrid speed sensorless control strategy for PMSM Based on MRAS and fuzzy control. In: 2012 7th International power electronics and motion control conference (IPEMC), Vol. 4, pp 2976–2980

  17. Kadjoudj M, Benbouzid ME, Ghennai C, Diallo D (2004) A Robust hybrid current control for PMSM drives. IEEE trans Energy Conv 19:109–115

    Article  Google Scholar 

  18. Kadjoudj M, Abdessemed R, Benbouzid ME, Ghennai C (2000) Current control of PMSM fed by two and three levels VSI. In: Proceedings of EPE/PEMC, Tuke (Slovakia), pp 69–74

  19. Raouf MH et al (2013) Power system damping using hierarchical fuzzy multi-input PSS and communication lines active power deviations input and SVC. Int J Electr Robot Electron Commun Eng 7(12):1283–1288

    Google Scholar 

  20. Lee ML, Chung HY, Yu FM (2003) Modeling of hierarchical fuzzy systems. Fuzzy Sets Syst 138(2):343–361

    Article  MathSciNet  Google Scholar 

  21. Lee H-S et al (1993) Speed control of induction motor using fuzzy algorithm with hierarchical structure. In: Proceedings of computer, communication, control and power engineering, IEEE Region 10 Conference on TENCON’93

  22. Luo Y, Chen Y, Pi Y (2010) Cogging effect minimization in PMSM position servo system using dual high-order periodic adaptive learning compensation. ISA Trans 49:479–488

    Article  Google Scholar 

  23. Gao Wei, Guo Zhirong (2013) Speed sensorless control of PMSM using model reference adaptive system and RBFN. J Netw 8(1):213–220

    Google Scholar 

  24. Raju GVS, Zhou J, Kisner RA (1991) Hierarchical fuzzy control. Int J Control 54(5):1201–1216

    Article  MathSciNet  MATH  Google Scholar 

  25. Kvasov DE, Menniti D, Pinnarell A, Sergeyev YD, Sorrentino N (2008) Tuning fuzzy power-system stabilizers in multi-machine systems by global optimization algorithms based on efficient domain partitions. Elsevier Electr Power Syst Res 78(7):1217–1229

    Article  Google Scholar 

  26. Hwang GH, Kim D-W, Lee J-H, An Y-J (2008) Design of fuzzy power system stabilizer using adaptive evolutionary algorithm. Elsevier Eng Appl Artif Intell 21(1):86–96

    Article  Google Scholar 

  27. Tao CW, Taur JS, Wang CM, Chen US (2008) Fuzzy hierarchical swing-up and sliding position controller for the inverted pendulum–cart system. Elsevier Fuzzy Sets Syst 159(20):1–22

    MathSciNet  MATH  Google Scholar 

  28. Toliyat HA, Sadeh J, Ghazi R (1996) Design of augmented fuzzy logic power system stabilizers to enhance power systems stability. IEEE Trans Energy Convers 11:97–103

    Article  Google Scholar 

  29. Wang L (1999) Analysis and design of hierarchical fuzzy systems. IEEE Trans Fuzzy Syst 7:617–624

    Article  Google Scholar 

  30. Li H, Tso S (1999) Higher order fuzzy control structure for higher order or time-delay systems. IEEE Trans Fuzzy Syst 7:540–552

    Article  Google Scholar 

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Acknowledgments

This work was supported by the number of Duzce University Scientific Research Projects Coordination Unit with number of 2015.07.03.364.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Faculty of Technology, Duzce University, Duzce, Turkey

    Mustafa Dursun & Murat Kale

  2. Department of Electrical and Electronics Engineering, Faculty of Technology, Sakarya University, Sakarya, Turkey

    Ali Fuat Boz & Murat Karabacak

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  1. Mustafa Dursun
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  2. Ali Fuat Boz
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  3. Murat Kale
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  4. Murat Karabacak
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Correspondence to Mustafa Dursun.

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Dursun, M., Boz, A.F., Kale, M. et al. Sensorless control application of PMSM with a novel adaptation mechanism. Neural Comput & Applic 29, 87–103 (2018). https://doi.org/10.1007/s00521-016-2384-7

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  • DOI: https://doi.org/10.1007/s00521-016-2384-7

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