DOI QR코드

DOI QR Code

열차용 복합 항법 시스템 신뢰성 검증을 위한 실 궤적 기반 시뮬레이터 개발

Development of a Real Trajectory-based Simulator to Verify the Reliability of the Integrated Navigation System for Trains

  • 투고 : 2020.11.13
  • 심사 : 2021.02.17
  • 발행 : 2021.02.28

초록

철도 시스템에서는 인프라 기반의 열차 검측시스템을 통해 열차의 위치정보를 획득하는 것이 일반적이다. 하지만 미검출 및 오검출에 의해 잘못된 위치정보가 제공될 수 있으며, 이로 인한 사고를 야기할 수 있는 문제점을 갖고 있다. 따라서 본 연구에서는 센서 기반 복합항법시스템을 사용하여 열차의 위치정보를 제공하는 방법을 제안한다. 그러나 정확한 정보제공을 위해 복합 항법 시스템의 신뢰성을 검증해야 한다. 따라서 본 논문에서는 실 궤적을 기반으로 기준 궤적과 센서 데이터를 생성하고 다양한 시나리오에 따른 복합 항법 시스템의 성능을 실 궤적 상에서 분석할 수 있는 시뮬레이터를 개발한다.

In railway systems, it is common to obtain train location information through an infrastructure-based train detection system. However, this system has a problem that may provide incorrect location information due to non-detection and erroneous detection, which may cause an accident. Therefore, in this study, we propose a method of providing train location information using a sensor-based integrated navigation system. In order to provide accurate information; however, the reliability of the integrated navigation system must be verified. Therefore, in this paper, we develop a simulator that can generate a reference trajectory and sensor data based on the real trajectory and analyze the performance of the integrated navigation system according to various scenarios on the real trajectory.

키워드

참고문헌

  1. L. L. Presti, GNSS for Rail Transportation. Switzerland: Springer, 2018.
  2. B. Kwon, H. Jung, and K. Lee, "Study on Test methods and Procedures of Hybrid Track Circuit." JKIECS, vol. 9, no. 3, 2014, pp. 335-342
  3. D. Yang, C. Li, and Z. Jin, "A Study on Hybrid Track Cicuit Tag Recognition Enhancement." JKIECS, vol. 9, no. 4, 2014, pp. 537-542
  4. M. S. Grewal, L. R. Weill, and A. P. Andrews, Global Positioning Systems, Inertial Navigation, and Integration. Canada: John Wiley & Sons, 2001.
  5. D. H. Titterton, Strapdown Inertial Navigation Technology. United Kingdom: The Institute of Electrical Engineers, 1996.
  6. S. Cho, "Reliability analysis according to measurement of INS/GPS/NHC integrated navigation system for train." Journal of the Korean Society of Radiology, vol. 22, no. 11, 2019, pp. 852-863
  7. S. Cho, "IM-filter for INS/GPS-integrated navigation system containing low-cost gyros," IEEE trans. Aerospace, Electronic Systems, vol. 50, no. 4, 2014, pp. 2619-2629. https://doi.org/10.1109/TAES.2014.130128
  8. R. E. Kalman, "A new approach to linear filtering and prediction problems," Transactions on the ASME-Journal of Basic Engineering, vol. 82, 1960, pp. 35-45. https://doi.org/10.1115/1.3662552
  9. R. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering. New York: John Wiley & Sons, 1997.
  10. J. Seo, H. Lee, J. Lee, and C. Park, "Lever arm compensation for GPS/INS/ odometer integrated system," International Journal of Control, Automation, and Systems, vol. 4, no. 2, 2006, pp. 247-254.
  11. S. Cho, and W. Choi, "Robust positioning technique in low-cost DR/GPS for land navigation," IEEE trans. Instrumentation and Measurement, vol. 55, no. 4, 2006, pp. 1132-1142. https://doi.org/10.1109/TIM.2006.877718
  12. G. M. Siouris, Aerospace Avionics Systems. California: Academic Press, 1993.