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Back-Emf-Based Sensorless Field-Oriented Control of PMSM Using Neural-Network-Based Controller with a Start-Up Strategy

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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 325))

Abstract

This paper describes back-emf-based sensorless field-oriented control (FOC) of permanent magnet synchronous motor (PMSM) of surface-mounted type, employing neural-network-based controller for current and speed control. The dynamic response is improved. Further, rotor position is estimated by back-emf method. To overcome the shortcoming of back-emf-based control in zero and low speed, a start-up strategy is proposed, to predict the initial rotor position. The PMSM drive model is simulated in MATLAB/Simulink environment, and the results show improved dynamic response with a start-up strategy.

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References

  1. R. Krishnan, Electric Motor Drives: Modeling, Analysis, and Control (Prentice Hall, Englewood Cliffs, 2001)

    Google Scholar 

  2. S. Rajasekaran, G.A. Vijayalakshmi Pai, Neural Networks, Fuzzy logic and Genetic algorithms: Synthesis and Applications (2003)

    Google Scholar 

  3. M.A. Rahman, M.A. Hoque, On-line adaptive artificial neural network based vector control of PMSM. IEEE Trans. Energy Convers. 13(4), 311–318 (1998)

    Article  Google Scholar 

  4. R. kumar, R.A. Gupta, A.K. Bansal, Identification and control of PMSM using artificial neural network, in IEEE International Symposium on Industrial Electronics, ISIE (2007), pp. 30–35

    Google Scholar 

  5. D.H. Nguyen, B. Widrow, Neural network for self learning control systems. IEEE Control Syst. Mag. 10(3), 31–35 (1990)

    Article  Google Scholar 

  6. P. Pillay, R. Krishnan, Modeling of permanent magnet motor drives. Ind. Electron. IEEE Trans. Ind. Electron. 35, 537–541 (1988)

    Article  Google Scholar 

  7. Kh.I. Saleh, M.A. Badr, A.S. Elwer, S. Wahsh, Analysis of controlled permanent magnet synchronous motor using artificial neural network. Fifth Int. Conf. Electr. Mach. Syst. ICEMS 2, 791–795 (2001)

    Google Scholar 

  8. C. Busca, Open Loop Low Speed Control for PMSM in High Dynamic Applications (2012)

    Google Scholar 

  9. F.G. Rosario, C. Rando, G.R. Galluzzo, Back EMF sensorless-control algorithm for high-dynamic performance PMSM. IEEE Trans. Ind. Electron. 57(6), 2092–2100 (2010)

    Article  Google Scholar 

  10. P. Hutterer, H. Grabner, S. Silber, W. Amrhein, W. Schaefer, A study on systematic errors concerning rotor position estimation of PMSM based on back EMF voltage observation, in Electric Machines and Drives Conference, 2009. IEMDC ‘09. IEEE International (2009), pp. 1393–1400

    Google Scholar 

  11. H. Zhou, M. Kuang, J. Wu, A rotor position and speed estimation method for sensorless control of permanent magnetic synchronous motor, in 3rd IEEE International Symposium on Power Electronics for Distributed Generation Systems PEDG (2012), pp. 211–215

    Google Scholar 

  12. Zihui Wang, K. Lu, F. Blaabjerg, A Simple startup strategy based on current regulation for back-EMF-based sensorless control of PMSM. IEEE Trans. Power Electron. 27(8), 3817–3825 (2012)

    Article  Google Scholar 

  13. Z. Zheng, Y. Li, M. Fadel, Sensorless control of PMSM based on extended kalman filter, in Proceedings of the European Conference on Power Electronics and Applications (2007)

    Google Scholar 

  14. O. Wallmark, L. Harnefors, Sensorless control of salient PMSM drives in the transition region. IEEE Trans. Ind. Electron. 53(4), 1179–1187 (2006)

    Article  Google Scholar 

  15. R.W. Hejny, R.D. Lorentz, Evaluating the practical low-speed limits for back-EMF tracking-based sensorless speed control using drive stiffness as a key metric. IEEE Trans. Ind. Electron. 47(3), 1337–1343 (2011)

    Google Scholar 

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Correspondence to V. S. Nagarajan .

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Nagarajan, V.S., Balaji, M., Kamaraj, V. (2015). Back-Emf-Based Sensorless Field-Oriented Control of PMSM Using Neural-Network-Based Controller with a Start-Up Strategy. In: Suresh, L., Dash, S., Panigrahi, B. (eds) Artificial Intelligence and Evolutionary Algorithms in Engineering Systems. Advances in Intelligent Systems and Computing, vol 325. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2135-7_48

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  • DOI: https://doi.org/10.1007/978-81-322-2135-7_48

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2134-0

  • Online ISBN: 978-81-322-2135-7

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