LM-FNN 제어기에 의한 IPMSM 드라이브의 최대토크 제어

Maximum Torque Control of IPMSM Drive with LM-FNN Controller

  • 발행 : 2006.02.01

초록

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. The paper is proposed maximum torque control of IPMSM drive using learning mechanism-fuzzy neural network(LM-FNN) controller and artificial neural network(ANN). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current $i_{d}$ for maximum torque operation is derived. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using LM-FNN controller and ANN controller. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of IPMSM using LM-FNN and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system controlled LM-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the LM-FNN and ANN controller.

키워드

참고문헌

  1. G. R. Slemon, 'Electric machines and drives,' Reading, MA: Addison-Wesley, 1992
  2. T. J. E. Miller, 'Brushless permanent magnet and reluctance motor drives,' Oxford, U. K.: Clarendon, 1989
  3. Mona N. Eskander, ' Minimization of Losses in Permanent Magnet Synchronous Motors Using Neural Network', Journal of Power Electronics. vol. 2, no. 3, pp 220-229, 2002
  4. B. K. Bose and P. M. Szczesny, 'A microcomputer-based control and simulation of an advanced IPM synchronous machines drive system for electric vehicle propulsion,' IEEE Trans. IE, vol. 35, no. 4, pp. 547-559, 1988 https://doi.org/10.1109/41.9178
  5. T. M. Jahns, 'Flux weakening regime operation of an interior permanent magnet synchronous motor drive,' IEEE Trans. IA, vol. 23, no. 4, pp. 681-689, 1987 https://doi.org/10.1109/TIA.1987.4504966
  6. S. R. Macmin and T. M. Jahns, 'Control technique for improved high speed performance of interior PM synchronous motor drives,' IEEE Trans. IA, vol. 27, no. 5, pp. 997-1004, 1991 https://doi.org/10.1109/28.90358
  7. B. K. Bose, 'A high performance inverter-fed drive system of an interior permanent magnet synchronous machines,' IEEE Trans. IA., vol. 24, pp. 142-150, 1988
  8. S. R. MacMinn and T. M. Jahns, 'Control techniques for improved high performance of interior PM synchronous motor drives,' IEEE Trans. IA., vol. 27, pp. 997-1004, 1991 https://doi.org/10.1109/28.90358
  9. S. Morimoto, M. Sanada and Y. Taketa, 'Wide speed operation of interior permanent magnet synchronous motors with high performance current regulator,' IEEE Trans. IA., vol. 30, pp. 920-926, 1994 https://doi.org/10.1109/28.297908
  10. J. M. Kim, S. K. Sul, 'Speed control of interior permanent magnet synchronous motor drive for the flux weakening operation,' IEEE Trans. IA., vol. 33, pp. 43-48, 1997 https://doi.org/10.1109/28.567075
  11. M. Santos and J. M. de la Cruz, 'Between fuzzy PID and PID conventional controllers,' NAFIPS'96, Berkley, USA, June 1996 https://doi.org/10.1109/NAFIPS.1996.534716
  12. M. Ali Unar, D. J. Murray-Smith and S. F. Ali Shah, 'Design and tuning of fixed structure PID controller - A survey,' Technical Report CSC-96016, Faculty of Engineering, Glasgow University, Scotland, 1996
  13. Z. Ibrahim and E. Levi, 'Comparative analysis of fuzzy logic and PI speed control in high performance AC drives using experimental approach.' Proc. of IEEE IAS'2000. Rome. Italy. CD-ROM paper 46-3. 2000 https://doi.org/10.1109/IAS.2000.881988
  14. J. C. Lee and D. H. Chung, 'MRAC fuzzy control for high performance of induction motor drive.' The Trans. of KIPE, vol, 7, no. 3, pp, 215-223. 2002
  15. H. G. Lee, J. C. Lee and D. H. Chung, 'Design of fuzzy controller induction drive considering parameter change,' The Trans. of KIEE, vol. 51P, no. 3, pp. 111-119, 2002.
  16. H. G. Lee, J. C. Lee and D. H. Chung, 'New fuzzy controller for high performance of induction motor drive,' The journal of KIIS, vol. 17, no. 4, pp. 87-93. 2002
  17. H. G. Lee, J. C. Lee and D. H. Chung, 'Adaptive FNN controller for speed control of IPMSM drive.' The Trans. of KIEE, vol. 41-SC, no. 3, pp. 39-46, 2004
  18. J. C. Lee, H. G. Lee, Y. S. Lee and S. M. Nam, D. H. Chung, 'Speed estimation and control of induction motor drive using hybrid intelligent control,' International Conference ICPE'04, no. 3, pp. 181-185, 2004
  19. J. C. Lee, H. G. Lee and S. M. Nam, D. H. Chung, 'Speed control of induction motor drive using adaptive FNN controller,' International Conference ICEMS'04, Conference no. PI-5(430-M09-052), 2004. [CD no. 2]
  20. C. Schauder, 'Adaptive speed identification for vector control of induction motors,' IEEE Trans. on IA, pp. 1054-1061, 1992 https://doi.org/10.1109/28.158829
  21. F. Z. Feng, T. Fukao, 'Robust speed identification for speed sensorless vector control of induction motors,' IEEE Trans. on IA, vol. 30, no. 5, pp. 1234-1240, 1994 https://doi.org/10.1109/28.315234
  22. H. Kubota and K. Matsuse, 'Speed sensorless field oriented control of induction motor with rotor resistance adaption,' IEEE Trans. on IA, vol, 30, no. 5, pp, 1219-1224, 1994 https://doi.org/10.1109/28.315232