A Review on - MRAS based Sensorless Control of Interior Permanent Magnet Synchronous motor drives using Fuzzy Logic

Authors(1) :-Megha. P

Model reference adaptive system (MRAS) is typically employed for rotor position/ speed estimation in sensorless interior permanent magnet motor (IPMSM) drives. There are different ways to improve the performance of IPMSM drives. In previous research PI controller is used to control the speed of Permanent magnet synchronous motor. But in some cases when dynamics of the system varies with operating conditions and time the PI controller will not give better performance. To overcome this problem a new MRAS scheme based on fuzzy logic is proposed. In order to avoid the difficulties involved with manual tuning of the PI control parameters, fuzzy controller is implemented. Fuzzy control scheme consists of two models, namely current model of the IPMSM as the adjustable model, and the motor itself as the reference model. The difference between the outputs of the two models gives the estimated value of the rotor speed through a adaptive mechanism and position can be obtained by integrating the speed. In order to lower the motor speed ripple caused by the cyclic fluctuating load, a feed- forward compensation strategy with the load-matching motor output torque pattern is developed. The proposed system has to be implemented in MATLAB simulink.

Authors and Affiliations

Megha. P
Department of EIE, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India

Fuzzy Logic, interior permanent magnet synchronous motor drives (IPMSM), sensorless control, Model reference adaptive system (MRAS).

  1. Jianru Wan, Guangye Li, Chenhu Yuan, and Hong Shen, “MRAS speed identification for PMSM based on fuzzy PI control,” IEEE Conference on Industrial Electronics and Applications, pp.1995-1998, 2009.
  2. Elbacha, E. Elwarraki, and D. Yousfi, “Robustness of fuzzy controller based adaptation mechanism for MRAS sensorless IM drives,” in IEEE International Conference on Electrical Machines, pp.1-6, 2010.
  3. Giaouris, and J. W. Finch, “A New Fuzzy Logic Based Adaptation Mechanism for MRAS Sensorless Vector Control Induction Motor Drives,” IET Conference on Power Electronics, Machines and Drives, pp.179-183, 2008.
  4. Giaouris, and J.W. Finch, “MRAS Sensorless vector control of an induction motor using new sliding-mode and fuzzy- logic adaptation mechanisms,” IEEE Transactions on Energy Conversion, vol.25, No.2, 394-402, 2010.
  5. Kai Sun, Kui Liu, and Lipei Huang, “Control strategy of PMSM drive in high speed operation for air-condition compressor,” in Proceedings of IEEE IECON2008, pp.1137-1142, 2008.
  6. Antti Piippo, Marko Hinkkanen, and Jorma Luomi, “Adaptation of motor parameters in sensorless PMSM drives,” IEEE Transactions on Industry Applications, vol.45, No.1, pp.203-212, 2009.
  7. Matthias Preindl, and Erik Schaltz, “Sensorless model predictive direct current control using novel second- order PLL observer for PMSM drive systems,” IEEE Transactions on Industrial Electronics, vol.58, No.9, pp. 4087-4095, 2011.
  8. Sakorn Po Ngam, Sangwongwanich, and Somboon Sang- wongwanich, “Stability and dynamic performance improvement of adaptive full-order observers for sensorless PMSM drive,” IEEE Transactions on Power Electronics, vol.27, No.2, pp.588-600, 2012.
  9. Yasser Abdel Rady Ibrahim Mohamed, “A newly designed instantaneous-torque control of direct-drive PMSM servo actuator with improved torque estimation and control characteristics,” IEEE Transactions on Industrial Electronics, vol.54, No.5, pp.2864-2873, 2007.
  10. Velimir Nedic, and Thomas A. Lipo, “Low-cost current- fed PMSM drive system with sinusoidal input currents,” IEEE Transactions on Industry Applications, vol.42, No.3, pp.753-762, 2006.
  11. Alessandro Lidozzi, Luca Solero, Crescimbini, and Augusto Di Napoli, “SVM PMSM drive with low resolution halleffect sensors,” IEEE Transactions on Power Electronics, vol.22, No.1, pp.282-290, 2007.
  12. Chinchul Choi, Wootaik Lee, “Analysis and com- pensation of time delay effects in hardware-in- the-loop simulation for automotive PMSM drive system,” IEEE Transactions on Industrial Electronics, vol.59, No.9, pp.3403-3410, 2012.
  13. Faa-Jeng Lin, Ying-Chih Hung, and Meng-Ting Tsai, “Fault-tolerant control for six-phase PMSM drive system via intelligent complementary sliding-mode control using TSKFNN-AMF,” IEEE Transactions on Industrial Electronics, vol.60, No.12, pp. 5747-5762, 2013.

Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 628-630
Manuscript Number : CSEIT1846117
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Megha. P, "A Review on - MRAS based Sensorless Control of Interior Permanent Magnet Synchronous motor drives using Fuzzy Logic", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.628-630, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1846117

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