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Fault Diagnosis of Power Converter for Switched Reluctance Motor based on Discrete Degree Analysis of Wavelet Packet Energy

  • Gan, Chun (Dept. of Electrical Engineering, Zhejiang University) ;
  • Wu, Jianhua (Dept. of Electrical Engineering, Zhejiang University) ;
  • Yang, Shiyou (Dept. of Electrical Engineering, Zhejiang University)
  • Received : 2013.07.08
  • Accepted : 2013.08.21
  • Published : 2013.09.01

Abstract

Power converter plays a very important role in switched reluctance motor (SRM) systems, and it is also the easiest one to experience failures. Power converter faults will cause the motor to run in non equilibrium states, and a long time fault operation will lead to motor and other modules damaged, and make the system completely lose working stability. This paper uses an asymmetric bridge converter as the research object with three-phase SRM, employs the wavelet packet decomposition for the phase currents. It analyzes and studies the short circuit fault condition of IGBT, uses an energy discrete degree of the wavelet packet nodes as the fault characteristic, and conducts the corresponding experimental and simulation analysis to verify the effectiveness and practicality of the proposed method.

Keywords

References

  1. Miller T J E. Switched reluctance motors and their control. London: Magna Physics Publishing and Oxford Science Publications, 1993: 3-25.
  2. Shen L, Wu J, Yang S, Initial Position Estimation in SRM Using Bootstrap Circuit Without Predefined Inductance Parameters. IEEE Transactions on Power Electronics, Vol. 26, No. 9, pp. 2449-2456, 2011. https://doi.org/10.1109/TPEL.2011.2107334
  3. Wang SY, Tseng CL, Chien SC. Adaptive fuzzy cerebellar model articulation control for switched reluctance motor drive. IET Electric Power Applications, Vol. 6, No. 3, pp. 190-202, 2012. https://doi.org/10.1049/iet-epa.2011.0159
  4. Moron C, Garcia A, Tremps E, Somolinos JA, Torque Control of Switched Reluctance Motors. IEEE Transactions on Magnetics, Vol. 48, No. 4, pp. 1661-1664, 2012. https://doi.org/10.1109/TMAG.2011.2173169
  5. Gameiro NS, Marques Cardoso AJ. A new method for power converter fault diagnosis in SRM drives. IEEE Transactions on Industry Application, Vol. 48, No. 2, pp. 653-662, 2012. https://doi.org/10.1109/TIA.2011.2180876
  6. Gebregergis A, Pillay P. Implementation of fuel cell emulation on DSP and dSPACE controllers in the design of power electronic converters. IEEE Transactions on Industry Applications, Vol. 46, No. 1, pp. 285-94, 2010. https://doi.org/10.1109/TIA.2009.2036676
  7. Shahbazi M, jamshidpour E, Poure P, Saadate S, Zolghadri M. Open and short-circuit switch fault diagnosis for non-isolated DC-DC converters using field programmable gate array. IEEE Transactions on Industrial Electronics, Vol. 2, No. 99, pp. 1-12, 2012.
  8. Xuejun P, Songsong N, Yu C, Yong K. Open-circuit fault diagnosis and fault-Tolerant strategies for full-bridge DC-DC converters. IEEE Transactions on Power Electronics, Vol. 27, No. 5, pp. 2550-2565, 2012. https://doi.org/10.1109/TPEL.2011.2173589
  9. Byoung Gun Park, Tae Sung Kim, Ji Su Ryu, et al. Fault tolerant strategies for BLDC motor drives under switch faults. IEEE Industry Applications Conference, Tampa, Florida, USA. No. 4, pp. 1637-1641, 2006.
  10. Sun X, Tong X, Yin J. Fault diagnosis for VSC-HVDC using wavelet transform. Power and Energy Engineering Conference (APPEEC), March 2012:1-4.
  11. Cui Bowen, Ren Zhang. Fault detection and isolation of inverter based on FFT and neural network. Transactions of China Electrotechnical Society, Vol. 21, No. 7, pp. 37-43, 2006.
  12. Betta G, Liguori C, Paolillo A, Pietrosanto A. A DSP-based FFT-analyzer for the fault diagnosis of rotating machine based on vibration analysis. IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 6, pp. 1316-1322, 2002. https://doi.org/10.1109/TIM.2002.807987
  13. Zhao Chengyong, He Mingfeng. A novel method for harmonics measurement using phase information of complex wavelet transform. Proceedings of the CSEE, Vol. 25, No. 01, pp. 38-42, 2005.
  14. Zhou Shengqi, Zhou Luowei, Sun Pengju, Li ya-ping.Application of wavelet correlation analysis in defect diagnosis of IGBT module. Electric Machines and Control, Vol. 16, No. 12, pp. 36-41, 2012.
  15. Khan M, Radwan TS, Azizur Rahman M.Real-Time Implementation of Wavelet Packet Transform-Based Diagnosis and Protection of Three-Phase Induction Motors. IEEE Transactions on Energy Conversion, Vol. 22, No. 3, pp. 647-655, 2007. https://doi.org/10.1109/TEC.2006.882417