A Full Range Permanent Magnet Synchronous Motor Position and Speed Estimation using Adaptive Non-singular Fast Terminal Sliding Mode Observer

  • Sajad Saberi Babol Noshirvani University of Technology, Faculty of Electrical and Computer Engineering, Babol, Iran.
  • Behrooz Rezaie Babol Noshirvani University of Technology, Faculty of Electrical and Computer Engineering, Babol, Iran.
Keywords: Position and Speed Estimation, Fast Terminal Sliding Mode Observer, Permanent Magnet Synchronous Motor, Quadrature-Component-Based Phase Lock Loop

Abstract

Full range speed and position estimation of permanent magnet synchronous motors is a challenging task. In this paper, a nonsingular terminal sliding mode observer is proposed for fast and precise estimation of speed and position. It is shown that adaptive gain in proposed method not only helps to reduce chattering problem in low speed range considerably but also decreases estimation error in nominal speed. Furthermore, in order to accurately estimate the rotor position in the reverse speed, a quadrature-component-based phase lock loop is utilized instead of arctan function. Finally, to illustrate effectiveness of proposed method, simulation results using MATLAB/SIMULINK is provided

References

[1] Krishnan, R. Permanent Magnet Synchronous and Brushless DC Motor Drives; CRC Press/Taylor & Francis: Boca Raton, FL, USA, 2010
[2] Yang, J.F.; Hu, Y.W. Optimal direct torque control of permanent magnet synchronous motor. Proc. Chin. Soc. Electr. Eng. 2011, 31, 109–115.
[3] M. S. Ahmed, A. Hably and S. Bacha,Kite Generator System Modeling and Grid Integration, in IEEE Transactions on Sustainable
[4] Acarnley, P. P., and J. F. Watson, “Review of positionsensorless operation of brushless permanent-magnet machines,” IEEE Trans. Ind. Electron., Vol. 53, No. 2, pp. 352–362 (2006).
[5] F. Giri, Ed., AC ELECTRIC MOTORS CONTROL. John Wiley and Sons, Ltd, 2013
[6] B. Nahid-Mobarakeh, F. Meibody-Tabar, and F. M. Sargos, Back EMF estimationbased sensorless control of PMSM: Robustness with respect to measurement errors and inverter irregularities", in Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE, vol. 3, 2004, pp. 1858{1865}
[7] M. Hassan, O. Mahgoub, and A. E. Shafei, ANFIS based MRAS speed estimator for sensorless control of PMSM", in 2013 Brazilian Power Electronics Conference, COBEP 2013 - Proceedings, 2013, pp. 828{835.
[8] A. Mishra, V. Mahajan, P. Agarwal, and S. P. Srivastava, MRAS based estimation of speed in sensorless PMSM drive", in 2012 IEEE 5th Power India Conference, PICONF 2012, 2012, pp. 1{5.
[9] D. Xiao, D. Q. Guan, M. F. Rahman, J. Fletcher, and E. Systems, Sliding Mode Observer Combined with Fundamental PWM Excitation for Sensorless Control of IPMSM Drive", in IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2014, pp. 895{901.
[10] L. An, D. Franck, and K. Hameyer, Sensorless field oriented control using back-EMF and flux observer for a surface mounted permanent magnet synchronous motor", International Journal of Applied Electromagnetics and Mechanics, vol. 45, no. 1-4, pp. 845{ 850, 2014.
[11] V. Nagarajan, M. Balaji, and V. Kamaraj, Back-Emf-Based Sensorless Field-Oriented Control of PMSM Using Neural-Network-Based Controller with a Start-Up Strategy", Advances in Intelligent Systems and Computing, vol. 325, pp. 449{457, 2015.


[12] Aydogmus O and Su¨ nter S (2012) Implementation of EKF based sensorless drive system using vector controlled PMSM fed by a matrix converter. International Journal of Electrical Power & Energy Systems 43(1): 736–743.
[13] Corradini ML, Ippoliti G, Longhi S, et al. (2010) Observer-based robust control of PMSM via quasi sliding modes. IFAC Proceedings Volumes 43(14): 795–800
[14] Hosseyni A, Trabelsi R, Mimouni MF, et al. (2015) Sensorless sliding mode observer for a five-phase permanent magnet synchronous motor drive. ISA Transactions 58(1): 462–473
[15] Li SS, Fu YL and Liu P (2018) Position estimation and compensation based on a two-step extended sliding-mode observer for a MSFESS. Sensors 18(8): 1–17
[16] Qiao ZW, Shi TN, Wang YD, et al. (2013) New sliding-mode observer for position sensorless control of permanent-magnet synchronous motor. IEEE Transactions on Industrial Electronics 60(2): 710–719
[17] Zhao LH, Huang J, Liu H, et al. (2014) Second-order sliding-mode observer with online parameter identification for sensorless induction motor drives. IEEE Transactions on Industrial Electronics 61(10): 5280–5289
[18] Liang DL, Li J and Qu RH (2017) Sensorless control of permanent magnet synchronous machine based on second-order sliding-mode observer with online resistance estimation. IEEE Transactions on Industry Applications 53(4): 3672–3682
[19] S. T. Venkataraman and S. Gulati,Control of nonlinear systems using terminal sliding modes, Transactions of the ASME—Journal of Dynamic Systems, Measurement and Control, vol. 115, no. 3, pp. 554–560, 1993.
[20] X. Yu and M. Zhihong, Fast terminal sliding-mode control design for nonlinear dynamical systems, IEEE Transactions on Circuits and Systems. I. Fundamental Theory and Applications, vol. 49, no. 2, pp. 261–264, 2002
[21] Y. Feng, X. Yu, and Z. Man, Non-singular terminal sliding mode control of rigid manipulators, Automatica, vol. 38, no. 12, pp. 2159–2167, 2002.
[22] Liang DL, Li J, Qu RH, et al. (2018) Adaptive second-order slidingmode observer for pmsm sensorless control considering VSI nonlinearity. IEEE Transactions on Power Electronics 33(10): 8994–9004.
[23] Hamed Rabiee, Mohammad Ataei, Mohsen Ekramian, Continuous nonsingular terminal sliding mode control based on adaptive sliding mode disturbance observer for uncertain nonlinear systems,Automatica,Volume 109,2019
[24] Zongyu Zuo and Lin Tie ,Distributed robust finite-time nonlinear consensus protocols for multi-agent systems,International Journal of Systems Science, vol. 47, no. 6,pp 1366-1375
[25] Zhang YC and Liu JL (2016) An improved Q-PLL to overcome the speed reversal problems in sensorless PMSM drive. In: 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), Hefei, China, 22–26 May 2016, pp. 1884–1888
[26] J. Holtz, “Advanced PWM and predictive control—An overview,” IEEE Trans. Ind. Electron., vol. 63, no. 6, pp. 3837–3844, Jun. 2016.
Published
2019-12-01
Section
Articles