• Title/Summary/Keyword: 호버링 타입 무인잠수정

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Development of hovering-type AUV test-bed 'OCTAGON' (호버링 타입 자율무인잠수정 'OCTAGON'의 테스트베드 개발)

  • Choi, Dong-Ho;Lee, Young-Jin;Hong, Sung-Min;Kim, Joon-Young
    • Journal of Advanced Marine Engineering and Technology
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    • v.40 no.6
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    • pp.516-526
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    • 2016
  • This paper introduces a hovering-type autonomous underwater vehicle (AUV) developed for research and its fundamental motion performance results obtained by simulation and field test. The AUV can control its motion in four degrees of freedom (DOF) by means of its horizontal and vertical thrusters, and it is designed to provide a test-bed that facilitates ease of operation and experimentation. Prior to the field tests, six DOF equations of motion are developed, and a simulation program is constructed using MATLAB and Simulink to verify the essential motion performance of the designed vehicle. Furthermore, a proportional-integral-derivative (PID) controller and fuzzy PID controller are designed, and their performances are verified through a simulation. Field tests are performed to verify the motion performance of the AUV; way-point tracking is executed by the PID and fuzzy PID controllers. The results confirmed appropriate control performance under current disturbances.

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.