saujs

Sakarya University Journal of Science

2147-835X

Sakarya University

10.16984/saufenbilder.867649

Electrical Engineering

Elektrik Mühendisliği

Extended Back-EMF Based Industrial Sensorless Drive System for PMSMs

https://orcid.org/0000-0002-2333-0649

Gördük

Burak

ISTANBUL TECHNICAL UNIVERSITY

https://orcid.org/0000-0003-1584-1788

Yilmaz

Murat

ISTANBUL TECHNICAL UNIVERSITY

08 30 2021

25 4 1061 1074 01 25 2021 07 13 2021

1997

Sakarya University Journal of Science

Field oriented control (FOC) of Permanent Magnet Synchronous Motors (PMSM) is utilized in many industrial applications due to its high performance. Semiconductor manufacturers provide specialized solutions and tools for this technique. However, such solutions are protected with closed source codes. This reduces the flexibility and the performance of such systems. This paper presents the conducted studies of controller and embedded software design for FOC of a PMSM using extended back-electromotive force (EMF) observer. Observer is derived from motor analytical model. Accurate position and speed estimations are observed using the simulations. An inverter board is obtained from market and a controller board with microcontroller is designed. Extended back-EMF observer model is implemented in embedded software. Performance in nominal speed range with no-load and full-load along with transient loading is tested with a 3000 rpm industrial fan motor. The developed drive system is capable to operate down to 200 rpm and maintain stability under load disturbances, compensating the 10% speed error during nominal load transitions in one second. The developed drive system is fully capable to replace the existing closed source solutions with the benefits of having a robust and flexible structure that can be fine-tuned according to the application.

Permanent magnet synchronous motor field oriented control sensorless back-electromotive force observer

D. Maheswaran, V. Rangaraj, K. K. J. Kailas and W. A. Kumar, "Energy efficiency in electrical systems," 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Bengaluru, pp. 1-6, 2012.

Directive 2009/125/EC of the European Parliament and of the Council of 21 October 2009 establishing a framework for the setting of ecodesign requirements for energy-related products, OJ L 285, pp. 10–35, 2009.

T. Ohtani, N. Takada and K. Tanaka, "Vector control of induction motor without shaft encoder," in IEEE Transactions on Industry Applications, vol. 28, no. 1, pp. 157-164, Jan.-Feb. 1992.

C. Schauder, "Adaptive speed identification for vector control of induction motors without rotational transducers," in IEEE Transactions on Industry Applications, vol. 28, no. 5, pp. 1054-1061, Sept.-Oct. 1992.

L. Li, X. Guo, P. Zeng, Z. Li, K. Chen and J. Cao, "Sensorless Vector Control for Automotive Auxiliary Motors in the Full Speed Range," 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China, pp. 1-4, 2019.

S. Padhy, R. M. Pindoriya, C. Subramanian and Z. Husain, "Encoder-less speed control of PMSM drive using adaptive observer," 2018 IEEMA Engineer Infinite Conference (eTechNxT), New Delhi, pp. 1-6, 2018.

V. Medam, S. Basak, Y. T. Rao and C. Chakraborty, "An adaptive rotor resistance estimation technique for vector controlled induction motor drive suitable for electric vehicle application," IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, pp. 2604-2609, 2019.

J. Holtz and Juntao Quan, "Sensorless vector control of induction motors at very low speed using a nonlinear inverter model and parameter identification," in IEEE Transactions on Industry Applications, vol. 38, no. 4, pp. 1087-1095, July-Aug. 2002.

L. Yan and X. Song, "Design and Implementation of Luenberger Model-Based Predictive Torque Control of Induction Machine for Robustness Improvement," in IEEE Transactions on Power Electronics, vol. 35, no. 3, pp. 2257-2262, March 2020.

T. Orlowska-Kowalska, "Application of extended Luenberger observer for flux and rotor time-constant estimation in induction motor drives," in IEE Proceedings D - Control Theory and Applications, vol. 136, no. 6, pp. 324-330, Nov. 1989.

J. Lai, C. Zhou, J. Su, M. Xie, J. Liu and T. Xie, "A Permanent Magnet Flux Linkage Estimation Method Based on Luenberger Observer for Permanent Magnet Synchronous Motor," 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China, pp. 1-6, 2019.

F. P. Scalcon, C. J. Volpato, T. Lazzari, T. S. Gabbi, R. P. Vieira and H. A. Gründling, "Sensorless Control of a SynRM Drive Based on a Luenberger Observer with an Extended EMF Model," IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, pp. 1333-1338, 2019.

M. F. Moussa, Y. Gaber and M. El Attar, "Vector control drive of permanent magnet motor without a shaft encoder," 2008 12th International Middle-East Power System Conference, Aswan, pp. 249-254, 2008.

G. Chen, S. Yang and J. Chen, "Advantages of Flux-based Position Sensorless Drive for Surface Permanent Magnet Machine," IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, pp. 899-903, 2019.

G. Chen, J. Chen and S. Yang, "Implementation Issues of Flux Linkage Estimation on Permanent Magnet Machine Position Sensorless Drive at Low Speed," in IEEE Access, vol. 7, pp. 164641-164649, 2019.

G. Garcia Soto, E. Mendes and A. Razek, "Reduced-order observers for rotor flux, rotor resistance and speed estimation for vector controlled induction motor drives using the extended Kalman filter technique," in IEE Proceedings - Electric Power Applications, vol. 146, no. 3, pp. 282-288, May 1999.

M. S. Termizi, J. M. Lazi, Z. Ibrahim, M. H. N. Talib, M. J. A. Aziz and S. M. Ayob, "Sensorless PMSM drives using Extended Kalman Filter (EKF)," 2017 IEEE Conference on Energy Conversion (CENCON), Kuala Lumpur, pp. 145-150, 2017.

V. I. Utkin, "Sliding mode control design principles and applications to electric drives," in IEEE Transactions on Industrial Electronics, vol. 40, no. 1, pp. 23-36, Feb. 1993.

J. Sun, G. Cao, S. Huang and Q. Qian, "A Sliding Mode Observer for Position Estimation of the Planar Switched Reluctance Motor," 2019 IEEE International Electric Machines & Drives Conference (IEMDC), San Diego, CA, USA, pp. 1342-1347, 2019.