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강결합 방식의 INS/DVL/RPM 복합항법시스템 설계

Design of Tightly Coupled INS/DVL/RPM Integrated Navigation System

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주제분류해양공학

초록

Because the global positioning system (GPS) is not available in underwater environments, an inertial navigation system (INS)/doppler velocity log (DVL) integrated navigation system is generally implemented. In general, an INS/DVL integrated system adopts a loosely coupled method. However, in this loosely coupled method, although the measurement equation for the filter design is simple, the velocity of the body frame cannot be accurately measured if even one of the DVL transducer signals is not received. In contrast, even if only one or two velocities are measured by the DVL transducers, the tightly coupled method can utilize them as measurements and suppress the error increase of the INS. In this paper, a filter was designed to regenerate the measurements of failed transducers by taking advantage of the tightly coupled method.The regenerated measurements were the normal DVL transducer measurements and the estimated velocity in RPM. In order to effectively estimate the velocity in RPM, a filter was designed considering the effects of the tide. The proposed filter does not switch all of the measurements to RPM if the DVL transducer fails, but only switches information from the failed transducer. In this case, the filter has the advantage of being able to be used as a measurement while continuously estimating the RPM error state. A Monte Carlo simulation was used to determine the performance of the proposed filters, and the scope of the analysis was shown by the standard deviation (1σ, 68%). Finally, the performance of the proposed filter was verified by comparison with the conventional tightly coupled method.

Abstract

Because the global positioning system (GPS) is not available in underwater environments, an inertial navigation system (INS)/doppler velocity log (DVL) integrated navigation system is generally implemented. In general, an INS/DVL integrated system adopts a loosely coupled method. However, in this loosely coupled method, although the measurement equation for the filter design is simple, the velocity of the body frame cannot be accurately measured if even one of the DVL transducer signals is not received. In contrast, even if only one or two velocities are measured by the DVL transducers, the tightly coupled method can utilize them as measurements and suppress the error increase of the INS. In this paper, a filter was designed to regenerate the measurements of failed transducers by taking advantage of the tightly coupled method.The regenerated measurements were the normal DVL transducer measurements and the estimated velocity in RPM. In order to effectively estimate the velocity in RPM, a filter was designed considering the effects of the tide. The proposed filter does not switch all of the measurements to RPM if the DVL transducer fails, but only switches information from the failed transducer. In this case, the filter has the advantage of being able to be used as a measurement while continuously estimating the RPM error state. A Monte Carlo simulation was used to determine the performance of the proposed filters, and the scope of the analysis was shown by the standard deviation (1σ, 68%). Finally, the performance of the proposed filter was verified by comparison with the conventional tightly coupled method.

참고문헌 (10)

  1. Eliav, R, "INS", Partial DVL Measurements Fusion with Correlated Process and Measurement Noise, 2018, ~
  2. 이판묵, "초음파 거리계를 이용한 무인잠수정의 수중 복합 항법시스템", 한국해양공학회지, 18(4), pp.33~39 (2004), 한국해양공학회
  3. 이종무, "반자율무인잠수정의 수중 복합항법 시스템 성능평가를 위한 회전팔 시험", 한국해양공학회지, 17(4), pp.73~80 (2003), 한국해양공학회
  4. 이종무, "간접 되먹임 필터를 이용한 관성센서 및 초음파 속도센서 기반의 수중 복합항법 알고리듬", 한국해양공학회지, 17(6), pp.83~90 (2003), 한국해양공학회
  5. Liu, P., "INS", DVL, IEEE Sensors Journal, pp.2018, 18(7)[DOI]
  6. Rudolph, D. ., "Doppler Velocity Log Theory and Preliminary Considerations for Design and Construction", Proceedings of the IEEE Southeastcon, pp.15~18 (2012)
  7. Titterton, D. H., "Strapdown Inertial Navigation Technology" (1997), Peter Pegerinus Ltd
  8. 유태석, "속도필터 적용 수중운동체 복합항법 알고리즘 개발", 한국해양공학회지, 27(2), pp.93~99 (2013), 한국해양공학회
  9. 유태석, "무인잠수정 센서 선정을 위한 복합항법 성능 분석", 한국해양공학회지, 28(6), pp.566~573 (2014), 한국해양공학회
  10. Tal, A., "Inertial Navigation System", Doppler Velocity Log (INS, Sensors, pp.2017, 17(2)[DOI]

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