RESEARCH ARTICLE

Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

  • Bhavnesh KUMAR , 1 ,
  • Yogesh K CHAUHAN 1 ,
  • Vivek SHRIVASTAVA 2
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  • 1. School of Engineering, Gautam Buddha University, Greater Noida 201310, India
  • 2. Electrical Engineering Department, National Institute of Technology Delhi, Delhi 110077, India

Received date: 21 Mar 2013

Accepted date: 24 May 2013

Published date: 05 Mar 2014

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for high performance AC drives is proposed. The error vector computation is made based on the rotor-flux derived from the reference and the adaptive model of the induction motor. The error signal is processed in the proposed fuzzy logic controller (FLC) for speed adaptation. The drive employs an indirect vector control scheme for achieving a good closed loop speed control. For powering the drive system, a standalone photovoltaic (PV) energy source is used. To extract the maximum power from the PV source, a constant voltage controller (CVC) is also proposed. The complete drive system is modeled in MATLAB/Simulink and the performance is analyzed for different operating conditions.

Cite this article

Bhavnesh KUMAR , Yogesh K CHAUHAN , Vivek SHRIVASTAVA . Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive[J]. Frontiers in Energy, 2014 , 8(1) : 81 -89 . DOI: 10.1007/s11708-014-0295-9

1
Elgendy M A, Zahawi B, Atkinson D J. Comparison of directly connected and constant voltage controlled photovoltaic pumping systems. IEEE Trans on Sustainable Energy, 2010, 1(3): 184-192

DOI

2
Atlas H, Sharaf A M. A Photovoltaic array simulation model for Matlab-Simulink GUI environment. In: International Conference on Clean Electrical Power, Capri, Italy, 2007, 341-345

3
Vitorino M A, Beltrao de Rossiter Correa M, Jacobina C B, Lima A M N. An effective induction motor control for photovoltaic pumping. IEEE Transactions on Industrial Electronics, 2011, 58(4): 1162-1170

DOI

4
Kuo Y C, Liang T J, Chen J F. Novel maximum-power-point-tracking controller for photovoltaic energy conversion system. IEEE Transactions on Industrial Electronics, 2001, 48(3): 594-601

DOI

5
Wai R J. Hybrid control for speed sensorless induction motor drive. IEEE Transactions on Fuzzy Systems, 2001, 9(1): 116-138

DOI

6
Bose B K. Modern Power Electronics and AC Drives. Prentice Hall, 2002.

7
Cardenas R, Pena R. Sensorless vector control of induction machines for variable-speed wind energy applications. IEEE Transactions on Energy Conversion, 2004, 19(1): 196-205

DOI

8
Gadoue S M, Giaouris D, Finch J W. MRAS sensorless vector control of an induction motor using new sliding-mode and fuzzy-logic adaptation mechanisms. IEEE Transactions on Energy Conversion, 2010, 25(2): 394-402

DOI

9
Xu Z, Shao C, Feng D. An MRAS method for sensorless control of induction motor over a wide speed range. Journal of Control Theory and Applications, 2011, 9(2): 203-209

DOI

10
Vasic V, Vukosavic S N, Levi E. A stator resistance estimation scheme for speed sensorless rotor flux oriented induction motor drives. IEEE Transactions on Energy Conversion, 2003, 18(4): 476-483

DOI

11
Orlowska-Kowalska T, Dybkowski M. Stator-Current-Based MRAS Estimator for a Wide Range Speed-Sensorless Induction-Motor Drive. IEEE Transactions on Industrial Electronics, 2010, 57(4): 1296-1308

DOI

12
Maiti S, Chakraborty C, Hori Y, Ta M C. A stable back-EMF MRAS-based sensorless low speed induction motor drive insensitive to stator resistance variation. IEE Proceedings Electric Power Application, 2004, 151(6): 685-693

13
Maiti S, Chakraboty C, Hori Y, Ta M C. Model reference adaptive controller-based rotor resistance and speed estimation techniques for vector controlled induction motor drive utilizing reactive power. IEEE Transactions on Industrial Electronics, 2008, 55(2): 594-601

DOI

14
Iacchetti M F, Carmeli M S, Castelli Dezza F, Perini R. A speed sensorless control based on a MRAS applied to a double fed induction machine drive. Electrical Engineering, 2010, 91(6): 337-345

DOI

15
Salem Z M, Khater M M, Kalilah S A, Mahmoud S A. Fuzzy logic based mras for sensorless induction motor drive. In: Eleventh International Middle East Power Systems Conference, El-Minia, Egypt, 2006, 427-433

16
Gümüş B, Özdemir M. Sensorless vector control of a Permanent magnet synchronous motor with fuzzy logic observer. Electrical Engineering, 2006, 88(5): 395-402

DOI

17
Douiri M R, Cherkaoui M. Learning fuzzy controller and extended Kalman filter for sensorless induction motor robust against resistance variation. Frontiers of Electrical and Electronic Engineering, 2012, 7(3): 347-355

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