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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
R. Krishnan, Electric Motor Drives: Modeling, Analysis, and Control (Prentice Hall, Englewood Cliffs, 2001)
S. Rajasekaran, G.A. Vijayalakshmi Pai, Neural Networks, Fuzzy logic and Genetic algorithms: Synthesis and Applications (2003)
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)
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
D.H. Nguyen, B. Widrow, Neural network for self learning control systems. IEEE Control Syst. Mag. 10(3), 31–35 (1990)
P. Pillay, R. Krishnan, Modeling of permanent magnet motor drives. Ind. Electron. IEEE Trans. Ind. Electron. 35, 537–541 (1988)
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)
C. Busca, Open Loop Low Speed Control for PMSM in High Dynamic Applications (2012)
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)
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
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
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)
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)
O. Wallmark, L. Harnefors, Sensorless control of salient PMSM drives in the transition region. IEEE Trans. Ind. Electron. 53(4), 1179–1187 (2006)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer India
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-81-322-2135-7_48
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2134-0
Online ISBN: 978-81-322-2135-7
eBook Packages: EngineeringEngineering (R0)