DOI QR코드

DOI QR Code

Bluetooth Low-Energy Current Sensor Compensated Using Piecewise Linear Model

  • Shin, Jung-Won (School of Electronics Engineering, Kyungpook National Unversity)
  • Received : 2020.08.18
  • Accepted : 2020.09.22
  • Published : 2020.09.30

Abstract

Current sensors that use a Hall element and Hall IC to measure the magnetic fields generated in steel silicon core gaps do not distinguish between direct and alternating currents. Thus, they are primarily used to measure direct current (DC) in industrial equipment. Although such sensors can measure the DC when installed in expensive equipment, ascertaining problems becomes difficult if the equipment is set up in an unexposed space. The control box is only opened during scheduled maintenance or when anomalies occur. Therefore, in this paper, a method is proposed for facilitating the safety management and maintenance of equipment when necessary, instead of waiting for anomalies or scheduled maintenance. A Bluetooth 4.0 low-energy current-sensor system based on near-field communication is used, which compensates for the nonlinearity of the current-sensor output signal using a piecewise linear model. The sensor is controlled using its generic attribute profile. Sensor nodes and cell phones used to check the signals obtained from the sensor at 50-A input currents showed an accuracy of ±1%, exhibiting linearity in all communications within the range of 0 to 50 A, with a stable output voltage for each communication segment.

Keywords

References

  1. E. K. Jeon, "Legislation and policy issues", https://www.sensors.or.kr/ (retrieved on Sep. 8, 2012).
  2. M. Farrokhifar, F. Momayyezi, N. Sadoogi, and A. Safari, "Real-time based approach for intelligent building energy management using dynamic price policies", Sustain. Cities Soc., Vol. 37, pp. 85-92, 2018. https://doi.org/10.1016/j.scs.2017.11.011
  3. F. Clarizia, D. Gallo, C. Landi, M. Luiso, and R. Rinaldi, "Smart meter systems for smart grid management", Proc. 2016 IEEE Internat. Instrum. Meas. Technol. Conf., pp. 1-6, Taipei, Taiwan, 2016.
  4. M. P. Fanti, A. M Mangini, and M. Roccotelli, "A simulation and control model for building energy management", Control Eng. Pract., Vol. 72, pp. 192-205, 2018. https://doi.org/10.1016/j.conengprac.2017.11.010
  5. E. D. Lipson and B. D. Horwitz, "Photosensory reception and transduction" in Sensory Receptors and Signal Transduction, J. L. Spudich and B. H. Satir, Eds. Wiley-Liss, New York, pp. 1-64, 2001.
  6. J. S. Han, C. S. Choi, W. K. Park, I. W. Lee, and S. H. Kim, "Smart home energy management system including renewable energy based on ZigBee and PLC", IEEE Trans. Consum. Electron., Vol. 60, No. 2, pp. 198-202, 2014. https://doi.org/10.1109/TCE.2014.6851994
  7. S. Abdelmalek, L. Barazane, A. Larabi, and M. Bettayeb, "A novel scheme for current sensor faults diagnosis in the stator of a DFIG described by a TS fuzzy model", Measurement, Vol. 91, pp. 680-691, 2016. https://doi.org/10.1016/j.measurement.2016.05.102
  8. C. Gan, J. Wu, Y. Hu, S. Yang, W. Cao, and J. L. Kirtley, "Online sensorless position estimation for switched reluctance motors using one current sensor", IEEE Trans. Power Electron., Vol. 31, No. 10, pp. 7248-7263, 2016. https://doi.org/10.1109/TPEL.2015.2505706
  9. S. C. Yang, "Saliency-based position estimation of permanent magnet synchronous machines using square-wave voltage injection with a single current sensor", IEEE Trans. Ind. Appl., Vol. 51, No. 2, pp. 1561-1571, 2015. https://doi.org/10.1109/TIA.2014.2358796
  10. C. Chakraborty and V. Verma, "Speed and current sensor fault detection and isolation technique for induction motor drive using axes transformation", IEEE Trans. Ind. Electron., Vol. 62, No. 3, pp. 1943-1954, 2015. https://doi.org/10.1109/TIE.2014.2345337
  11. H. Yan, Y. Xu, W. Zhao, H. Zhang, and C. Gerada, "DC drift error mitigation method for three-phase current reconstruction with single Hall current sensor", IEEE Trans. Magn., Vol. 55, No. 2, pp. 8100604(1)-8100604(4), 2019.
  12. J. W. Shin, B. S. Choi, and Y. H. Ha, J. Sci. Technol., Vol. 24, No. 3, pp. 194-201, 2015.
  13. N. Castro, S. Reis, M.P. Silva, V. Correia, S. Lanceros-Mendez, and P. Martins, "Development of a contactless DC current sensor with high linearity and sensitivity based on the magnetoelectric effect", Smart Mater. Struct. Vol. 27, No. 6, pp. 065012(1)-065012(6), 2018. https://doi.org/10.1088/0964-1726/27/6/065012
  14. J. S. Kim, "Study of closed loop electric current sensors of 3 core-4 winding mode", M. S. thesis, Kumoh National Institute of Technology, Gumi-Si, South Korea, 2008.
  15. A. Itzke, R. Weiss, and R. Weigel, "Influence of the conductor position on a circular array of Hall sensors for current measurement", IEEE Trans. Ind. Electron., Vol. 66, No. 1, pp. 580-585, 2019. https://doi.org/10.1109/TIE.2018.2826462
  16. J. H. Park, "Study of automotive current sensor using hall effect of open loop type", M. S. thesis, Incheon University, Incheon, South Korea, 2013.
  17. M. Rewienski and J. White, "A trajectory piecewise-linear approach to model order reduction and fast simulation of nonlinear circuits and micromachined devices", IEEE Trans. Comput. Aided Des. Integr. Circuit Syst., Vol. 22, No. 2, pp. 155-170, 2003. https://doi.org/10.1109/TCAD.2002.806601
  18. https://www.tta.or.kr/data/web.jsp (retrieved on Jul. 24, 2001).
  19. http://www.nordicsemi.com (retrieved on Dec. 2015).
  20. B. Yu, L. Xu, and Y. Li, "Bluetooth Low Energy (BLE) based mobile electrocardiogram monitoring system", IEEE Int. Conf. Inf. Autom., pp. 763-767, Shenyang, China, 2012.
  21. P. Kriz, F. Maly, and T. Kozel, "Improving indoor localization using Bluetooth low energy beacons", Mob. Inf. Syst., Vol. 2016, pp. 2083094(1)-2083094(11), 2016.