• 한국정보통신학회논문지
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• 제24권11호
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• pp.1417-1423
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• 2020

본 논문에서는 수중에서 운동하는 무인잠수정의 경로점 유도법칙을 제안한다. 시선각 유도법칙과 수선경로 오차를 줄여가는 경로추종 유도법칙을 조합하여 효과적인 경로점 유도법칙을 설계하였고, 수선경로 오차의 거리에 따라 제어이득을 변화시켜 시스템의 안정성을 증가시켰다. 또한, 관성항법장치와 도플러속도계를 이용한 복합항법 시스템의 성능을 확인할 수 있는 HILS를 구성하였다. 같은 경로점 및 목표점을 입력 후 HILS 수행결과와 실해역 주행시험 결과를 비교하여, 제안한 유도법칙 및 HILS가 올바르게 구성되어 있음을 확인하였다.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2002년도 춘계학술대회 논문집
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• pp.243-250
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• 2002

According to Ocean Korea 21, a basic plan established by the Ministry of Maritime Affairs and Fisheries (MOMAF) of Korea in May 2000, Korea Research Institute of Ships and Ocean Engineering (KRISO) proposed a program for the development of a deep-sea unmanned underwater vehicle (UUV) to explore deep sea for scientific purpose. KRISO has launched a project in May 2001 under the support of MOMAF. The deep-sea unmanned underwater vehicle will be applied to scientific researches in deep-sea as well as in shallow water. For operation of underwater vehicles in shallow water near the Korean Peninsula, a special design is required because of strong tidal current. In addition, MOMAF requires the vehicle to be designed for the purpose of long range survey, a long-term observation, and precise works in a specific area. Thus, KRISO has planned to design the system with the functional combination of both ROV and AUV. This paper presents the design of the deep-sea unmanned underwater vehicle.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2002년도 추계학술대회 논문집
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• pp.142-148
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• 2002

Autonomous underwater vehicles (AUVs) are unmanned underwater vessels to investigate sea environments, oceanography and deep-sea resources autonomously. 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 repeated jobs at sea bed. This paper presents a visual servo control system for an AUV to dock into an underwater station with a camera mounted at the nose center of the AUV. To make 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 derives a state equation for the visual servoing AUV. 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 servoing 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.

• 전자공학회논문지
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• 제54권4호
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• pp.3-9
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• 2017

수중환경에서는 전력 공급이 어렵기 때문에 통신 프로토콜 설계에 있어서 전력 효율은 중요한 고려사항들 중 하나이다. 본 논문에서는 UUV(Unmanned Underwater Vehicle)와 AUV(Autonomous Underwater Vehicle) 같은 이동 노드를 갖는 수중통신망에 대해 에너지 효율적인 매체접속제어(MAC : Medium Access Control) 프로토콜을 연구하였다. 이동 노드간의 통신에서는 데이터 교환 중에 노드 이동으로 인해 서로의 전파 반경을 벗어나 전송 중인 데이터를 완료하지 못하고 에너지만 낭비하는 경우가 발생할 수 있다. 특히, 수중 통신 채널 환경에서는 지상보다 약 $10^5$ 배의 느린 전파 지연을 가지므로 데이터의 전송 완료 전에 서로의 전파 반경을 벗어날 확률이 지상보다 커서 이로 인한 에너지 낭비가 더 많게 된다. 제안한 mobility-MAC 프로토콜은 수신노드의 위치와 노드의 이동 속도를 고려하여 Dropping Zone을 정의하고 데이터 전송 시도를 제어한다. 데이터 전송시도는 Dropping Zone에서 무조건 데이터 전송을 드롭(drop)을 하는 것이 아니라, 데이터 전송 중 노드가 전파 반경을 이탈할 확률을 예측하여 드롭하는 방법이다. 결과적으로, 조건적 드롭을 통해 잘못된 드롭을 감소시켜 전송지연과 통신수율의 향상을 가져왔고 유효한 데이터 드롭으로 에너지 낭비를 방지하여 에너지 효율도 증가되었다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제34권3호
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• pp.235-245
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• 2007

무인수중로봇은 인간의 직접적인 접근이 제한되는 위험한 지역을 운항하기 때문에 인식, 결정, 그리고 행동과 같은 영역전문가의 고유능력을 수행하는 지능형 제어소프트웨어를 반드시 탑재해야한다. 본 논문에서는 다양한 무인항체에 적용 가능한 RVC 지능시스템 모델을 제안하며, 또한 충돌회피시스템, 항해 계획시스템, 그리고 충돌위험도산출시스템으로 구성된 무인수중로봇을 위한 지능형 자율운항시스템을 개발 한다. 충돌회피시스템에서는 퍼지관계곱에 기반한 장애물회피 알고리즘을 제안하는데 이는 생성경로 관점의 안전성과 효율성을 보장한다. 그리고 항해계획시스템에서는 폴리선을 이용한 항로계획 알고리즘을 제안 한다. 제안된 지능형 자율운항시스템의 성능검증을 위해 환경관리자, 객체, 그리고 3차원뷰어로 구성된 시뮬레이션시스템을 개발하여 시뮬레이션을 수행한다.

• 대한임베디드공학회논문지
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• 제6권3호
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• pp.124-131
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• 2011

There are many researches in unmanned vehicles such as UGV(Unmanned Ground Vehicle), AUV(Autonomous Underwater Vehicle). In these researches, differential wheeled mobile robots are mainly used to develop the experimental stage algorithm because of the simplicity of modeling and control. Usually a commercial product used in the study, but in order to operate a commercial product to the restrictions because there would need to use a fixed protocol. Using the microprocessor makes the internal sensors(encoder and INS) and external sensors(ultrasonic sensors, infrared sensors) operate and to determine commands for robot operation. This paper propose a mobile robot design for suitable purpose.

• 대한조선학회논문집
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• 제59권4호
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• pp.214-224
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• 2022

It is necessary to estimate manoeuvring characteristics of submerged bodies at the design stage in order to ensure the safe operations. In this study, added mass coefficients in the mathematical model of submerged bodies are estimated by captive model tests and numerical calculations. Two kinds of models, MARIN 'BB2'submarine model and AUV (Autonomous unmanned vehicle) model are utilized in the forced oscillation tests. Compared to BB2 submarine, AUV with cylindrical type hull form shows relatively small added masses in roll, pitch, and yaw directions. Next, numerical calculations based on potential theory are performed under the assumption that viscous effects on inertia forces are negligible. Added masses obtained by numerical calculations are in good agreements with forced oscillation test results. And if slow manoeuvres of submerged bodies are presumed, some of velocity coupled terms can be approximated by combinations of added mass coefficients.

• 한국해양공학회지
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• 제20권3호
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• pp.7-14
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• 2006

This paper discusses the structural design and analysis of a 6,000 meters depth-rated capable deep-sea unmanned underwater vehicle (UUV) system. The UUV system is currently under development by Maritime and Ocean Engineering Research Institute(MOERI), Korea Ocean Research and Development Institute (KORDI). The UUV system is composed of three vehicles - a Remotely Operated Vehicle (ROV), an Autonomous Underwater Vehicle (AUV) and a Launcher - which include underwater equipment. The dry weight of the system exceeds 3 tons hence it is necessary to carry out the optimal design of structural system to ensure the minimum weight and sufficient space within the frame for the convenient use of the embedded equipments. In this paper, therefore, the structural design and analysis of the ROV and launcher frame system were carried out, using the optimizing process. The cylindrical pressure vessels for the ROV were designed to resist the extreme pressure of 600 bars, based on the finite element analysis. The collapse pressure for the cylindrical pressure vessels was also checked through a theoretical analysis.

• 제어로봇시스템학회논문지
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• 제20권5호
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• pp.584-591
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• 2014

This paper presents a novel aided navigation method for AUV (Autonomous Underwater Vehicles). The navigation system for AUV includes several sensors such as IMU (Inertial Measurement Unit), DVL (Doppler Velocity Log) and depth sensor. In general, the $13^{th}$ order INS error model, which includes depth error, velocity error, attitude error, and the accelerometer and gyroscope biases as state variables is used with measurements from DVL and depth sensors. However, the model may degrade the estimation performance of the heading state. Therefore, the $11^{th}$ INS error model is proposed. Its validity is verified by using a degree of observability and analyzing steady state error. The performance of the proposed model is shown by the computer simulation. The results show that the performance of the reduced $11^{th}$ order error model is better than that of the conventional $13^{th}$ order error model.

• 한국해양공학회지
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• 제35권6호
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• pp.434-445
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• 2021

This paper proposes an optimal design method for an unmanned underwater vehicle (UUV) platform to overcome strong current. First, to minimize the hydrodynamic drag components in water, the vehicle is designed to have a streamlined disc shape, which help maintaining horizontal motion (zero roll and pitch angles posture) while overcoming external current. To this end, four vertical thrusters are symmetrically mounted outside of the platform to stabilize the vehicle's horizontal motion. In the horizontal plane, four horizontal thrusters are symmetrically mounted outside of the disc, and each of them has the same forward and reverse thrust performances. With these four thrusters, a specific thrust vector control (TVC) method is proposed, and for external current in any direction, four horizontal thrusters are controlled to generate a vectored thrust force to encounter the current while minimizing the vehicle's rotation and maintaining its heading. However, for the numerical simulations, the vehicle's hydrodynamic coefficients related to the horizontal plane are derived based on both theoretical and empirically derived formulas. In addition to the simulation, experimental studies in both the water tank and circulating water channel are performed to verify the vehicle's various final performances, including its ability to overcome strong current.