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Sensor Less Control of PMSM using SMC and SMO

G. S.V. Nikhileshwar, Dr P. Mallikarjuna Rao, Dr. D. Rajesh

Abstract


Some particular PMSM applications do not allow for the proper mounting or use of position sensors. A number of PMSM control problems can be resolved with sensorless PMSM control. It is crucial to have a precise predicted position while avoiding the chattering issue for sensorless PMSM control. This paper establishes a prerequisite for a sliding mode observer (SMO) to enter a sliding surface and offers a sigmoid-based algorithm for position estimation utilising an SMO. The study concluded that during a variety of velocity and load conditions, sensorless PMSM control using SMO depending on sigmoid function can predict orientation with extreme precision and prevent chattering. Here, the PMSM speed control algorithm is constructed using SMC.


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References


Ningning Ren, Le Fan, Zan Zhang. “Sensorless PMSM Control with Sliding Mode Observer Based on Sigmoid Function”. Journal of Electrical Engineering & Technology. 16: 933–939.

Zhou Yu, Li H, Wang W, Cao Q, Zhou S. Improved method for calculating magnetic field of surface-mounted per¬manent magnet machines accounting for slots and eccentric magnet pole. Journal of Electrical Engineering and Technology. 2015; 10(3): 1025–1034.

Z. Chen, Tomita M, Doki S, Okuma S (2003) An extended elec¬tromotive force model for sensorless control of interior perma¬nent magnet synchronous motors. IEEE Transactions on Industrial Electronics. April 2003; 50(2):288–295.

Zhou Y, Li HS, Meng GW, Zhou S, Cao Q. “Analytical calculation of magnetic field and cogging torque in surface-mounted permanent-magnet machines accounting for any eccen-tric rotor shape”. IEEE Transactions on Industrial Electronics. June 2015; 62 (6): 3438–3447.

M. Aryanezhad. “A novel designing approach to dual rotor switched reluctance motor based electric vehicles”. In: 2015 30th International Power System Conference (PSC). 23–25 November 2015; Tehran, Iran. US: IEEE Press; 2015. 54–59 p.

M. Naidu; B.K. Bose. “Rotor position estimation scheme of a permanent magnet synchronous machine for high performance variable speed drive”. Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting. 04-09 October 1992; Houston, TX, USA. US: IEEE Press; 2002.

K. Anusha, B. Amarendra Reddy, M. Ramesh, “Design Of Sliding Mode Controller For Field Controlled DC Motor Under Parameter Uncertainties, Helix Journal, Helix. 2018; 8 (2):

–3132.

YS Kim, SK Kim, MRAS based sensorless control of permanent magnet synchronous motor. In: IEEE SICE Annual Conference, 2003, Fukui, Japan: 1632–1637.

Zhe S, Rong-xiang Z, Ru-zhen D (2007) Research on sensorless control method of PMSM based on an adaptive sliding mode observer. Proc CSEE 27 (3): 23–27

Xiaoguang Zhang, Lizhi Sun, Ke Zhao, Li Sun. “Nonlinear Speed Control for PMSM System Using Sliding-Mode Control and Disturbance Compensation Techniques”. IEEE Transactions on Power Electronics. March 2013; 28 (3):1358–1365.

Wengen Gao h, Gang Zhang, Mengxun Hang, Sirui Cheng and Pengfei Li. “Sensorless Control Strategy of a Permanent Magnet Synchronous Motor Based on an Improved Sliding Mode Observer”. World Electric Vehicle Journal.

Wang Y, Yongxiang Xu, Zou J (2019) Sliding mode sensor¬less control of PMSM with inverter nonlinearity compensation. IEEE Trans Power Electron 34 (10): 10206–10220

Liang D, Li J, Ronghai Qu, Kong W (2018) Adaptive second-order sliding-mode observer for PMSM sensorless control considering VSI nonlinearity. IEEE Trans Power Electron

Mercorelli P (2012) A hysteresis hybrid extended kalman filter as an observer for sensorless valve control in camless internal combustion engines. IEEE Trans Ind Appl 48 (6): 1940–1949

Mercorelli P (2012) A two-stage augmented extended kalman filter as an observer for sensorless valve control in camless internal combustion engines. IEEE Trans Industr Electron 59 (11): 4236–4247


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