조명전기설비학회논문지 (Journal of the Korean Institute of Illuminating and Electrical Installation Engineers)

  • 제25권5호
  • /
  • Pages.22-33
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  • 2011
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  • 1229-4691(pISSN)
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  • 2287-5034(eISSN)
한국조명전기설비학회 (The Korean Institute of IIIuminating and Electrical Installation Engineers)
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유도전동기 드라이브의 DTC를 위한 하이브리드 퍼지제어기

Hybrid Fuzzy Controller for DTC of Induction Motor Drive

  • 투고 : 2010.08.11
  • 심사 : 2011.03.25
  • 발행 : 2011.05.31
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초록

An induction motor operated with a conventional direct self controller(DSC) shows a sluggish response during startup and under changes of torque command. Fuzzy logic controller(FLC) is used in conjection with DSC to minimize these problems. A FLC chooses the switching states based on a set of fuzzy variables. Flux position, error in flux magnitude and error in torque are used as fuzzy state variables. Fuzzy rules are determinated by observing the vector diagram of flux and currents. This paper proposes hybrid fuzzy controller for direct torque control(DTC) of induction motor drives. The speed controller is based on adaptive fuzzy learning controller(AFLC), which provide high dynamics performances both in transient and steady state response. Flux position, error in flux magnitude and error in torque are used as FLC state variables. The speed is estimated with model reference adaptive system(MRAS) based on artificial neural network(ANN) trained on-line by a back-propagation algorithm. This paper is controlled speed using hybrid fuzzy controller(HFC) and estimation of speed using ANN. The performance of the proposed induction motor drive with HFC controller and ANN is verified by analysis results at various operation conditions.

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참고문헌

  1. B. K. Bose, “Modern power electronics and AC drives,” Englewood Cliffs, NJ, Prentice-Hall, 2002.
  2. I. Boldea and S. A. Nasar, “Electric drives,” New York: Taylor & Francis, 2006.
  3. H.F.E. Soliman and M.E. Elbuluk, “Direct torque control of a three phase induction motor using a hybrid PI/fuzzy controller,” IEEE IAS Conference, pp. 1681-1685, 2007. https://doi.org/10.1109/07IAS.2007.258
  4. L. Lin, H. Zhong, Y. Deng, J. Zhang, Y. Jie and X. She, “A DTC Algorithm for three-level induction motor drives system based on discrete space vector modulation,” IEEE APEC Conference, pp. 1978-1983, 2009 https://doi.org/10.1109/APEC.2009.4802944
  5. B. C. Babu, and C. Poongothai, “High performance direct torque controlled induction motor drive for adjustable speed drive applications,” ICETET ’08. First International Conference, pp. 927-932, 2008.
  6. D. H. Chung, “Fuzzy control for high performance of induction motor using electric vehicles,” The Journal of KISS, vol. 14, no. 2, pp. 52-61, 1999.
  7. M. Depenbrock, “Direct self-control(DSC) of inverter-fed induction machine,” IEEE Trans. PE, vol. 3, no. 4, pp. 420-429, 1988. https://doi.org/10.1109/63.17963
  8. I. Takahashi, Direct Y. Ohmori, “High-performance torque control of year induction motor,” IEEE Trans. IA, vol. 25, no. 2, pp. 257-264, 1989.
  9. H. Kubota and K. Matsuse, “Speed sensorless fieldoriented control of induction motor with rotor resistance adaptation,” IEEE Trans. IA, vol. 30, pp. 344-348, 1994.
  10. S. S. Perng, Y. S. Lai and C. H. Liu, “Sensorless vector controller for induction motor drives with parameter identification,” in Proc. IEEE IECON, pp. 1008-1013, 1998. https://doi.org/10.1109/IECON.1998.724232
  11. Y. S. Lai, J. C. Lin and J. Wang, “Direct torque control induction motor drives with self-commissioning based on taguchi methodology,” IEEE Trans. PE, vol. 15, pp. 1065-1071, 2000. https://doi.org/10.1109/63.892820
  12. S. Mir, M. E. Elbuluk and D. S. Zinger, “PI and fuzzy estimators for tuning the stator resistance in direct torque control of induction machines,” Proc. IEEE PESC, pp. 744-751, 1994. https://doi.org/10.1109/PESC.1994.349655
  13. S. Mir, M. E. Elbuluk and D. S. Zinger, “PI and fuzzy estimators for tuning the stator resistance in direct torque control of induction machines,” IEEE Trans. PE, vol. 13, pp. 279-287, 1998.
  14. I. G. Bird and H. Zelaya De La Parra, “Fuzzy logic torque ripple reduction for DTC based ac drives,” IEEE Electron Lett., vol. 33, no. 17, pp. 1501-1502, 1997. https://doi.org/10.1049/el:19970967
  15. A. Arias, J. L. Romeral, E. Aldabas and M. G. Jayne, “Fuzzy logic direct torque control,” Proc. IEEE Int. Symp. Ind. Electron., pp. 253-258, 2000. https://doi.org/10.1109/ISIE.2000.930522
  16. J. S. Choi, J. S. Ko, J. H. Lee and D. H. Chung, “Development of hybrid artificial intelligent controller for high performance of induction motor,” ICEE‘06, pp. 101, 2006.
  17. J. S. Ko, J. S. Choi, J. H. Lee and D. H. Chung, “High Performance of Induction Motor with Adaptive Artificial Intelligent controller,” Proceeding of ICMATE'06, Session B1, pp. 189-194, 2006.

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