전자공학회논문지 (Journal of the Institute of Electronics and Information Engineers)

  • 제52권5호
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  • Pages.190-196
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  • 2015
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  • 2287-5026(pISSN)
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  • 2288-159X(eISSN)
대한전자공학회 (The Institute of Electronics and Information Engineers)
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칼만 필터를 이용한 GPS/INS융합의 다중 보정 방법

GPS/INS Fusion Using Multiple Compensation Method Based on Kalman Filter

  • 투고 : 2015.02.16
  • 심사 : 2015.04.21
  • 발행 : 2015.05.25
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초록

본 논문은 항법장치 위치보정을 위해 칼만필터를 적용한 GPS/INS융합의 다중보정방법을 제안한다. 연구에서는 관성항법장치를 구현하기 위해 9축 항법장치로 보정알고리즘을 적용하여 위치오차를 감소시킨 방법을 적용했다. 일반적으로 GPS/INS는 위치정보를 얻어낼 수 있지만 위치정보를 구하는 과정에서 오차 또한 더불어 커지게 되기에 이를 보정하기 위한 강인한 오차 보정 알고리즘이 필요하다. 본 논문에서는 9축 관성센서(mpu-9150)의 외란에 대한 강인성 향상을 위해 가속도계 보정 알고리즘을 사용하여 tilt보정을 수행했으며, 제어 대상체의 정확한 방위를 파악할 수 있도록 Yaw각 재정의 알고리즘을 적용하였다. 최종적으로 GPS/INS와 칼만 필터를 함께 결합한 통합시스템을 구현하였다.

In this paper, we propose multiple location error compensation algorithm for GPS/INS fusion using kalman filter and introduce the way to reduce location error in 9-axis navigation devices for implementing inertial navigation technique. When evaluating location, there is an increase of location error. So navigation systems need robust algorithms to compensate location error in GPS/INS fusion. In order to improve robustness of 9-axis inertial sensor(mpu-9150) over its disturbance, we used tilt compensation method using compensation algorithm of acceleration sensor and Yaw angle compensation to have exact azimuth information of the object. And it shows improved location result using these methods combined with kalman filter.

키워드

참고문헌

  1. J. Kim, S. Lee, "Sensor Information Filter for Enhancing the Indoor Pedestrian Localization Accuracy", Journal of Korea Robotics Society vol. 7, no. 4, pp. 276-283, 2012. https://doi.org/10.7746/jkros.2012.7.4.276
  2. J. H. Kim, S. W. Moon, S. H. Kim, D. H. Hwang, S. J. Lee, M. S. Oh, S. W. Ra, "Design of a Loosely-coupled GPS/INS Integration System", Journal of the KIMST vol. 2, no. 2, pp. 186-196, 2000.
  3. K. J. Kim, Y. K. Kim, S. H. Choi, J. M. Lee, "Outdoor Localization for Returning of Quad-rotor using Cell Divide Algorithm and Extended Kalman Filter", Journal of IKEEE, vol. 17, no. 4, pp. 440-445, 2013. https://doi.org/10.7471/ikeee.2013.17.4.440
  4. H. S. Satz, D. B. Cox Jr, R. L. Beard and G. P. Landis, "GPS inertial estimation via carrier accumulated-phase measurements," Navigation: Journal of The Institute of Navigation, vol. 38, no. 3, pp. 273-284, 1992. https://doi.org/10.1002/j.2161-4296.1991.tb01860.x
  5. W. Koo, "Performance Improvement of Real-Time Heading Estimation for Magnetometer/IMU Using a Nonlinear Filter", Master's Thesis, Aerospace Information Engineering, Konkuk University, 2009.
  6. Sebastian O. H. Madgwick, Andrew J.L. Harrison and Ravi Vaidyanathan, "Estimation of IMU and MARG orientation using a gradient descent algorithm", IEEE International Conference on Rehabilitation Robotics(ICORR), pp. 1-7, 2011.
  7. J. Kim, "Development of GPS and Magnetometer Aided Inertial Navigation System", Master's Thesis, Inha University, 2007.
  8. M. J. Caruso, "Application of Magnetic Sensors for Low Cost Compass Systems", Position Location and navigation Symposium, IEEE 2000, pp. 177-184, 2000.
  9. J. Lee, "Design and implementation of GPS/INS navigation system of UAVs", Master's Thesis, Chungnam National University, 2004.
  10. J. Lee, "The misalignment calibration of MEMS accelerometer and gyro for high accuracy attitude measurement of GPS/INS integrated system", Master's Thesis, Hanbat National University, 2014.
  11. Y. Lee, "Inertial Navigation System's Alignment using Multiple-model Kalman filter", Master's Thesis, Chungnam National University, 2010
  12. J. Y. Jeong, H. S. Kim, "A Study on the GPS/INS Integration and GPS Compensation Algorithm Based on the Particle Filter", Journal of The Institute of Electronics Engineers of Korea vol. 50, no. 6, pp. 267-275, 2012.
  13. J. Lee, H. Kim, "A Study of High Precision Position Estimator Using GPS/INS Sensor Fusion", Journal of The Institute of Electronics Engineers of Korea vol. 49, no. 11, pp. 159-166, 2012.

피인용 문헌

  1. 3D 렌더링 및 실시간 물체 검출 기능 탑재 캔위성 시스템 개발 vol.49, pp.8, 2015, https://doi.org/10.5139/jksas.2021.49.8.671