• 한국항행학회논문지
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• 제25권3호
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• pp.177-184
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• 2021

본 논문은 무인잠수정을 도킹스테이션에 성공적으로 안전하게 도킹시키기 위해 확률 기반 평가지표를 설계하여 수중 도킹 과정을 평가하는 방법을 제안한다. 제안하는 방법은 무인잠수정 상태와 수중 도킹을 위한 상태 기준의 일치 정도에 따른 도킹 성공 가능성을 확률로써 평가하는 방법이다. 평가는 무인잠수정의 기구학적 구속조건과 도킹 계획을 고려해 정의된 영역 내부에서 수행한다. 평가 과정은 확률밀도함수의 정의, 위치와 방향각 기준과의 차이에 따른 도킹스테이션 도달확률 계산, 확률지표의 산출 순서이며, 이를 통해 실시간으로 수중 도킹 과정을 평가한다. 수조실험을 통해 획득한 무인잠수정 데이터를 분석하여 제안하는 평가지표의 유효성을 검토하였다.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2002년도 춘계학술대회 논문집
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• pp.263-263
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• 2002

• 한국정밀공학회지
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• 제26권5호
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• pp.14-22
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• 2009

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 추계학술대회 논문집
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• pp.169-170
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• 2012

• 대한조선학회지
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• 제57권3호
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• pp.19-23
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• 2020

• 한국항행학회논문지
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• 제23권2호
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• pp.125-133
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• 2019

본 논문에서는 수중에서 광과광센서를 이용하여 AUV의 도킹스테이션에의 도킹에 대한 새로운 연구를 하였다. 이를 위해 LED를 유도광원으로 사용하는 도킹스테이션과렌즈, 광 변위센서, 신호처리기, 연산처리기로 구성된 센서시스템 무인잠수정에 장착한 무인잠수정의 종단유도장치 시스템을 제안하였다. LED 복사광을 이용해 정밀한 상대각도 측정 정밀도를 얻을 수 있도록 집광렌즈 및 광센서 시스템의 원리해석과 이를 검증하기 위해 집광렌즈와 광센서 시스템을 직접 제작하고 기초실험을 수행하였으며 제작한 광학센서를 이용한 AUV와 도킹시스템을 제작하고 수조에서 기본적인 도킹시험을 수행하여 새로운 도킹 방법으로의 가능성을 검증하였다.

• 한국해양공학회지
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• 제21권3호
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• pp.33-39
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• 2007

The more deeply the researches make progress in ocean researches including the seabed resource investigation or the oceanic ecosystem investigation, the more important the role of UUV gets. In case of study on the deep sea, there are difficulties in telecommunications between AUV and ships, and in data communication and recharging. Therefore, docking is required. In AUV docking system, the AUV should identify the position of docking device and make contact with a certain point of docking device. MOERI (Maritime & Ocean Engineering Research Institute), KORDI has conducted the docking testing on AUV ISIMI in KORDI ocean engineering water tank. As AUV ISIMI approachs the docking device, there is some cases of showing an unstable attitude, because the lights which is on Image Frame are disappeared. So we propose the docking algorithm that is fixing the rudder and stem, if the lights on image frame are reaching the specific area in the Image Frame. Also we propose the new docking device, which has a variety of position and light number. In this paper, we intend to solve the some cases of showing an unstable attitude that were found in the testing, which, first, will be identified the validity via simulation.

• 한국해양공학회지
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• 제17권1호
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• pp.1-7
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• 2003

Autonomous underwater vehicles (AUVs) are unmanned, underwater vessels that are used to investigate sea environments in the study of oceanography. Docking systems are required to increase the capability of the AUVs, to recharge the batteries, and to transmit data in real time for specific underwater works, such as repented jobs at sea bed. This paper presents a visual :em control system used to dock an AUV into an underwater station. A camera mounted at the now center of the AUV is used to guide the AUV into dock. To create the visual servo control system, this paper derives an optical flow model of a camera, where the projected motions of the image plane are described with the rotational and translational velocities of the AUV. This paper combines the optical flow equation of the camera with the AUVs equation of motion, and deriver a state equation for the visual servo AUV. Further, this paper proposes a discrete-time MIMO controller, minimizing a cost function. The control inputs of the AUV are automatically generated with the projected target position on the CCD plane of the camera and with the AUVs motion. To demonstrate the effectiveness of the modeling and the control law of the visual servo AUV simulations on docking the AUV to a target station are performed with the 6-dof nonlinear equations of REMUS AUV and a CCD camera.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2003년도 춘계학술대회 논문집
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• pp.89-93
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• 2003

The Korea Research Institute of Ships and Ocean Engineering (KRISO), the ocean engineering branch of KORDI, has designed and manufactured a model of an autonomous underwater vehicle (AUV) to test underwater docking. This paper introduces the AUV model, ASUM, equipped with a visual servo control system to dock into an underwater station with a camera and motion sensors. To make a visual servoing AUV, this paper implemented the visual servo control system designed with an augmented state equation, which was composed of the optical flow model of a camera and the equation of the AUV's motion. The system design and the hardware configuration of ASUM are presented in this paper. A small long baseline acoustic positioning system was developed to monitor and record the AUV's position for the experiment in the Ocean Engineering Basin of KRISO, KORDI. ASUM recognizes the target position by processing the captured image for the lights, which are installed around the end of the cone-type entrance of the duct. Unfortunately, experiments are not yet conducted when we write this article. The authors will present the results for the docking test of the AUV in near future.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.316-320
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• 2003

This paper introduces an autonomous underwater vehicle (AUV) model, ASUM, equipped with a visual servo control system to dock into an underwater station with a camera and motion sensors. To make a visual servoing AUV, this paper implemented the visual servo control system designed with an augmented state equation, which was composed of the optical flow model of a camera and the equation of the AUV's motion. The system design and the hardware configuration of ASUM are presented in this paper. ASUM recognizes the target position by processing the captured image for the lights, which are installed around the end of the cone-type entrance of the duct. Unfortunately, experiments are not yet conducted when we write this article. The authors will present the results for the AUV docking test.