Research Article
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Year 2021, Volume: 11 Issue: 1, 53 - 59, 01.06.2021
https://doi.org/10.36222/ejt.811569

Abstract

References

  • [1] Blaschke, F. (1972). The principle of field-orientation as applied to the transvector closed loop control system for rotating-field machines:Siemens Rev. , vol.34, no.1, pp. 217-220
  • [2] Pillay, P., Krishnan, R. (1989). Modelling, simulation and analysis of permanent magnet motor drives. I. The permanent magnet synchronous motor drive, IEEE Trans. Industry applications, v.40, no.3, pp.265-273
  • [3] Vas, P. (1998). Sensorless vector and direct torque control, Oxford University Press, pp.768
  • [4] Rahman, M. A. and Slemon, G.R. (1985). Promising Applications of NdBFe Iron Magnets in Electrical Machines (Invited), IEEE Trans. On Magnetics, Vol. MAG-21, No. 5, doi: 10.1109/TMAG.1985.1064113
  • [5] Bojoi, R., Pastorelli, M., Bottomley, J., Giangrande, P., Gerada, C. (2013). Sensorless control of PM motor drives - A technology status review, Proc. - 2013 IEEE Work. Electr. Mach. Des. Control Diagnosis, WEMDCD , pp. 168–182, doi: 10.1109/WEMDCD.2013.6525177.
  • [6] Briz, F., Degner, M. W., García, P., and Lorenz, R. D. (2004) Comparison of saliency-based sensorless control techniques for AC machines, IEEE Trans. Ind. Appl., vol. 40, no. 4, pp. 1107–1115
  • [7] Yongdong, L., Hao, Z. (2008). Sensorless control of permanent magnet synchronous motor - A survey, IEEE Veh. Power Propuls. Conf. VPPC doi: 10.1109/VPPC.2008.4677421
  • [8] Holtz, J. (1996). Methods for speed sensorless control of AC drives, University of Wuppertal, Germany
  • [9] Schrödl, M. (1996). Sensorless control of AC machines at low speed and standstill based on ‘INFORM’ method, IEEE Industry Applications Conference, IAS’96, vol. 1
  • [10] Utkin, V. (1993). Sliding mode control design principles and applications to electric drive, IEEE Transactions On Industrial Electronics, Vol. 40, No.1
  • [11] Drakunov, S., Utkin, V. (1995). Sliding mode observers tutorial, IEEE, Proceedings of the 34th conference on decision & control, New Orleans
  • [12] Kılıç, F. (2016). Model-free adaptive gain higher order sliding mode speed control of permanent magnet synchronous motor, Ph.D. Thesis, Kocaeli University, Applied Sciences Institutes
  • [13] Yang, I., Lee, D., Han, D. (2014). Designing A Robust Nonlinear Dynamic Inversion Controller for Spacecraft Formation Flying, Mathematical Problems in Engineering Volume 2014, Article ID 471352
  • [14] Westin, I. (2016). Sensorless Control of a PMSM, MSc. Thesis, KTH Royal Instute of Technology School, Sweden
  • [15] Kojabadi, H. M. , Ghribi, M. (2006). MRAS-based adaptive speed estimator in PMSM drives, Int. Work. Adv. Motion Control. AMC, no. 1, pp. 569–572, doi: 10.1109/AMC.2006.1631722.
  • [16] Dursun, M. (2017). New model adaptive system design for sensorless speed control of PMSM, Publications Prepared for the Innovations on Intelligents Systems and Applications Symposium ASYU, Sigma J Eng & Nat Sci 8 (2), 117-127
  • [17] Li, W. H. , Chen, Z. Y. , Cao, W. P. (2012).Simulation research on optimization of permanent magnet synchronous motor sensorless vector control based on MRAS, Int. Conf. Wavelet Act. Media Technol. Inf. Process. ICWAMTIP, pp. 350–355, doi: 10.1109/ICWAMTIP.2012.6413511.

COMPARISON BETWEEN MRAS AND SMO BASED SENSORLESS CONTROL METHODS OF PERMANENT MAGNET SYNCHRONOUS MOTOR

Year 2021, Volume: 11 Issue: 1, 53 - 59, 01.06.2021
https://doi.org/10.36222/ejt.811569

Abstract

Abstract
This paper presents a comparison between sliding mode observer and model reference adaptive system based sensorless position and speed control of permanent magnet synchronous motor. In traditional sliding mode observers, signum function which is used as switching function causes chattering effect. For reducing chattering effect low pass filter is used but this filter introduces a phase delay. In order to overcome these problems a sigmoid function is used instead of signum function in sliding mode observer based control method. In model reference adaptive system based control method, it is purposed to make zero error between the reference model and adjustable model. Popov’s super stability theorem is used for the stability of model reference adaptive system control method. Both of the control methods are simulated with Matlab/Simulink.
Keywords- PMSM, MRAS, SMO, sensorless

References

  • [1] Blaschke, F. (1972). The principle of field-orientation as applied to the transvector closed loop control system for rotating-field machines:Siemens Rev. , vol.34, no.1, pp. 217-220
  • [2] Pillay, P., Krishnan, R. (1989). Modelling, simulation and analysis of permanent magnet motor drives. I. The permanent magnet synchronous motor drive, IEEE Trans. Industry applications, v.40, no.3, pp.265-273
  • [3] Vas, P. (1998). Sensorless vector and direct torque control, Oxford University Press, pp.768
  • [4] Rahman, M. A. and Slemon, G.R. (1985). Promising Applications of NdBFe Iron Magnets in Electrical Machines (Invited), IEEE Trans. On Magnetics, Vol. MAG-21, No. 5, doi: 10.1109/TMAG.1985.1064113
  • [5] Bojoi, R., Pastorelli, M., Bottomley, J., Giangrande, P., Gerada, C. (2013). Sensorless control of PM motor drives - A technology status review, Proc. - 2013 IEEE Work. Electr. Mach. Des. Control Diagnosis, WEMDCD , pp. 168–182, doi: 10.1109/WEMDCD.2013.6525177.
  • [6] Briz, F., Degner, M. W., García, P., and Lorenz, R. D. (2004) Comparison of saliency-based sensorless control techniques for AC machines, IEEE Trans. Ind. Appl., vol. 40, no. 4, pp. 1107–1115
  • [7] Yongdong, L., Hao, Z. (2008). Sensorless control of permanent magnet synchronous motor - A survey, IEEE Veh. Power Propuls. Conf. VPPC doi: 10.1109/VPPC.2008.4677421
  • [8] Holtz, J. (1996). Methods for speed sensorless control of AC drives, University of Wuppertal, Germany
  • [9] Schrödl, M. (1996). Sensorless control of AC machines at low speed and standstill based on ‘INFORM’ method, IEEE Industry Applications Conference, IAS’96, vol. 1
  • [10] Utkin, V. (1993). Sliding mode control design principles and applications to electric drive, IEEE Transactions On Industrial Electronics, Vol. 40, No.1
  • [11] Drakunov, S., Utkin, V. (1995). Sliding mode observers tutorial, IEEE, Proceedings of the 34th conference on decision & control, New Orleans
  • [12] Kılıç, F. (2016). Model-free adaptive gain higher order sliding mode speed control of permanent magnet synchronous motor, Ph.D. Thesis, Kocaeli University, Applied Sciences Institutes
  • [13] Yang, I., Lee, D., Han, D. (2014). Designing A Robust Nonlinear Dynamic Inversion Controller for Spacecraft Formation Flying, Mathematical Problems in Engineering Volume 2014, Article ID 471352
  • [14] Westin, I. (2016). Sensorless Control of a PMSM, MSc. Thesis, KTH Royal Instute of Technology School, Sweden
  • [15] Kojabadi, H. M. , Ghribi, M. (2006). MRAS-based adaptive speed estimator in PMSM drives, Int. Work. Adv. Motion Control. AMC, no. 1, pp. 569–572, doi: 10.1109/AMC.2006.1631722.
  • [16] Dursun, M. (2017). New model adaptive system design for sensorless speed control of PMSM, Publications Prepared for the Innovations on Intelligents Systems and Applications Symposium ASYU, Sigma J Eng & Nat Sci 8 (2), 117-127
  • [17] Li, W. H. , Chen, Z. Y. , Cao, W. P. (2012).Simulation research on optimization of permanent magnet synchronous motor sensorless vector control based on MRAS, Int. Conf. Wavelet Act. Media Technol. Inf. Process. ICWAMTIP, pp. 350–355, doi: 10.1109/ICWAMTIP.2012.6413511.
There are 17 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Article
Authors

Çağlar Aydın 0000-0002-3147-7405

Sencer Ünal 0000-0001-5990-933X

Mehmet Özdemir 0000-0002-1178-060X

Publication Date June 1, 2021
Published in Issue Year 2021 Volume: 11 Issue: 1

Cite

APA Aydın, Ç., Ünal, S., & Özdemir, M. (2021). COMPARISON BETWEEN MRAS AND SMO BASED SENSORLESS CONTROL METHODS OF PERMANENT MAGNET SYNCHRONOUS MOTOR. European Journal of Technique (EJT), 11(1), 53-59. https://doi.org/10.36222/ejt.811569

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