• Title/Summary/Keyword: 도플러 센서

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Development of the Localization Algorithm for a Hovering-type Autonomous Underwater Vehicle using Extended Kalman Filter (확장칼만필터를 이용한 호버링타입 무인잠수정의 위치추정알고리즘 개발)

  • Kang, Hyeon-seok;Hong, Sung-min;Sur, Joo-no;Kim, Dong-hee;Jeong, Jae-hun;Jeong, Seong-hoon;Choi, Hyeung-sik;Kim, Joon-young
    • Journal of Advanced Navigation Technology
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    • v.21 no.2
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    • pp.171-178
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    • 2017
  • In this paper, in order to verify the performance of a localization algorithm using GPS as an auxiliary sensor, the algorithm was applied to a hovering-type autonomous underwater vehicle (AUV) to perform a field test. The applied algorithm is an algorithm to improve the accumulated positional error of dead reckoning using doppler velocity logger(DVL) and tilt-compensated compass module (TCM) mounted on the AUV. GPS when surfaced helps the algorithm to estimate the position and the heading bias error of TCM for geodetic north, which makes it possible to perform dead reckoning on north-east-down (NED) coordinates. As a result of field test performing heading control, it was judged that the algorithm could improve the positional error, enhance the operational capability of AUV and contribute to the research of underwater navigation depending on a magnetic compass.