implementation of neuro fuzzy 2nd order boost converter for high step up electric traction

S. Bairavi,T. Shankar raman

Published in International Journal of Advanced Research in Electrical and Electronics Engineering

ISSN: 2321-4775          Impact Factor:1.6         Volume:1         Issue:2         Year: 08 November,2013         Pages:66-69

International Journal of Advanced Research in Electrical and Electronics Engineering

Abstract

The Novel method of experimental verification of high step up electric traction with 2nd order boost converter. The converter switches are controlled by PWM technique . This type of traction system which improves the performance of electric traction. The neuro-fuzz converters produced minimum output voltage ripple and small settling time. This paper is simulated and controls the electric traction.

Kewords

Neuro-Fuzzy controller

Reference

1) Karthikumar, Dr. N. Mahendran, T. Karthickraja” NEURO-FUZZY CONTROL OF 2nd ORDER KY CONVERTER ”in 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems December16-19, 2012, Bengaluru, India 2) C.Kamal, Dr.S.Ramkumar, N.Hariharan” Experimental verification and implementation of a isolated ZVT boost converter for high step-up electric traction”in 2013 International Conference on Power, Energy and Control (ICPEC) 3) . H.B. Shin, J. G. Park, S. K. Chung, H. W. Lee, and T. A. Lipo, “Generalilzed steady-state analysis of multiphase interleaved boost converter with coupled inductors,” in Inst. Electr. Eng. Proc. Electr. Power, 2005, vol. 3, no. 152, pp. 584-594 4) R. Giral, E. Arango, J. Calvente, and l. martinez-Salamero, “ Inherent DCM operation of the asymmetrical interleaved dual buckboost,” in Proc. IEEE IECON 2002, vol. 1, pp. 129-134 5) F. L. Luo, “Positive output Luo converters voltage lift techique.” in Inst. Electr. Eng. Proc. Electr. Power Appl., 1999, vol. 4, no. 146, pp. 415-432 6) K. I. Hwu and Y. T. Yau, “KY Converter and Its Derivatives,” IEEE TRANSACTIONS ON POWER ELECTRONICS, vol. 24, no. 1, 2009 7) K. I. Hwu, Yung-Shan Chou, Chia-Jung Song, “On the design of Fuzzy-Controlled KY Converter,” in IEEE TRANSACTIONS ON POWER ELECTRONICS AND DRIVE SYSTEM, 2009, pp. 701704 8) S. Joseph Jawahar, Dr. N. S. Marimuthu, N. Albert Singh, “ An Neuro-Fuzzy Controller for a Non Linear Power Electronic Boost Converter,” in IEEE TRANSACTIONS ON INFORMATION and AUTOMATION, 2006, pp. 394-397 9) J. S. R. Jang, C. T. Sun, E. Mijutani, “Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. –Prentice Hall, 1997 10) Xie,Rui, Wuhua Li, Yi Zho,Zingo Zhao,Xianngning He and fragwen Cao and R. Y. Duan, "Performance analysis of isolated ZVT interleaved converter with winding-crosscoupled inductors and switchedcapacitors", 2010 IEEE Energy Conversion Congress and Exposition, 2010 11) C. Liu, A. Johnson, and J. S. Lai, A novel three-phase high-power soft-switched DC/DC converter for low-voltage fuel cell applications, 12) IEEE Trans. Power Electron., vol. 41, no. 6, pp. 1691--1697, Nov.---Dec.2005. [3] Q. Zhao and F. C. Lee, High-efficiency high step-up DC/DC converters, IEEE Trans. Power Electron., vol. 18, no. 1, pp. 65---73, Jan. 2003. 13) L. Yan and B. Lehman, An integrated magnetic isolated two-inductorboost converter: Analysis, design and experimentation, IEEE Trans.Power Electron., vol. 20, no. 2, pp. 332---342, Mar. 2005. 14) Li, Wuhua Liu, Jun Wu, Jiande He, Xiangn Design 15) and analysis of isolated ZVT boost converters for highefficiency and high-step-up application, IEEE Transactions on Power Electronics, Nov 2007 Issue