• 한국전기화학회:학술대회논문집
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• 2001.10a
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• pp.27-27
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• 2001

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.2
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• pp.62-69
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• 2014

The capability and cost effectiveness of UUV and USV bring to underwater survey, target detection and identification operations have been widely demonstrated and accepted in recent years. Future USV systems may deploy UUVs to gain the advantage of higher area coverage rates through multiple and simultaneous operations. In this paper, we present an architecture of USV and UUV for mine countermeasure with results of measures on effectiveness.

• Journal of Ocean Engineering and Technology
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• v.28 no.6
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• pp.566-573
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• 2014

This paper presents the results of an integrated navigation performance analysis for selecting the sensor of an unmanned underwater vehicle (UUV) using Monte Carlo numerical simulation. An inertial measurement unit (IMU) and Doppler velocity log (DVL) are considered to build the integrated navigation system. The position error and price of the sensor are selected as performance indices to evaluate the volunteer integrated navigation systems. Monte-Carlo simulation is introduced to analyze the circular error probability (CEP) and its variance. Simulation results provide the proper sensor combination for integrated navigation in relation to the performance and price.

• The Journal of Korea Robotics Society
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• v.15 no.1
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• pp.24-31
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• 2020

Alternative navigation in underwater environments is essential to prevent accumulating drift error of dead reckoning. In case of using an external positioning system, the installation and management process of the transmission station is cumbersome, and the operation range of underwater vehicle is limited. In order to solve this problem, navigation using geophysical information such as terrain, geomagnetic field and gravity can be used. Unlike the terrain, geomagnetic field and gravity are composed of 3-D information, so continuation process is required. In this paper, we present a integrated navigation algorithm using multiple geophysical information for long-term operation of UUV. The proposed algorithm is verified through numerical simulation in an artificially generated environments. As a result, integrated navigation showed higher navigation accuracy than single alternative navigation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.45-50
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• 2006

본 연구는 Manta형 무인잠수정(Manta-type Unmanned Undersea Vehicle)의 동안정성을 검토한 후에 이 데이터를 기초로 하여 6자유도 수치 시뮬레이션을 실시하였다. 또한, 수치 시뮬레이션을 통하여 각각의 유체력미계수가 UUV의 6자유도 운동에서 미치는 영향에 대하여 검토하였다. 민감도 해석(Sensitivity Analysis)을 위한 방법은 간접법(Indirect Method)을 사용하였다. 수학모델 및 유체력미계수의 추정은 손경호 등(2006)의 결과를 이용하여 수행하였다. 연구를 통하여 UUV의 조종운동 모델에서 각각의 유체력미계수가 가지는 상대적 중요도를 알 수 있었다.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.6
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• pp.526-530
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• 2011

This paper presents a new fuzzy model-based design approach for waypoints-tracking control of nonlinear underwater vehicles (UUVs) on a horizontal plane. The waypoints-tracking control problem is converted into the stabilization one for the error model between the given nonlinear UUV and the waypoints. By using the sector nonlinearity, the error model is modeled in Takagi-Sugeno's form. We then derive stabilization conditions for the error model in the format of linear matrix inequality. A numerical simulation is provided to illustrate the effectiveness of the proposed methodology.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.4
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• pp.579-589
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• 2011

One of the most significant UUV(Unmanned Underwater Vehicle) applications is MCM(Mine Countermeasure), which makes good use of UUV characteristics to provide covert, rapid, controlled and efficient survey of a potential minefield without risking a human operator. In this paper, a survey of the today's MCM missions where UUVs will play a role, the vehicle systems that are either under development or planned in the future are presented. And examines principal technical challenges and outline new enabling technologies. Particularly, this paper analyses current approaches to tacking these technologies and technological limitation of UUVs as a MCM platform, and research efforts to develop the technology necessary to meet the domestic MCM mission needs.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2012.06a
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• pp.214-214
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• 2012

본 논문 만타형 무인잠수정을 이용한 실해역 자율주행 성능시험에 관한 내용을 다룬다. 만타형의 개발을 위해서 6자유도 운동방정식에 대한 시뮬레이션을 실시하였으며, 시뮬레이션 결과를 바탕으로 만타형 무인잠수정을 개발하여 실해역에서 성능시험을 실시하였다. 실해역 자율주행 시험은 가시선 방법(LOS, Line of Sight)방법을 이용하였으며, 제어에는 PD 제어기를 사용하였다. 목표반경을 10m로 하였을 때, 설정된 좌표로 이동하는 것을 확인하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.1
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• pp.222-229
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• 2016

Active synthetic aperture sonar on the small UUV is generated several trajectory disturbances under the influences of underwater environments, and causing a large error in the synthetic aperture processing. In this paper, we analyzed the effects of azimuth resolution for the phase mismatch of the synthetic aperture focus processing when the periodic or random trajectory disturbances was generated on the side direction. The simulation results show that ghost targets are generated and azimuth resolution is very deteriorated when disturbance amplitude is greater than $0.3{\lambda}$ and disturbance period is greater than $2L_{sa}$ in the periodic trajectory disturbances environments. And detection performance on the seabed small objects by the synthetic aperture processing is shown that there is a significant effects on the azimuth resolution depending on the types and conditions of the platform trajectory disturbance variations.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.178-185
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• 2011

In this paper, we propose the position estimation algorithm based on the multisensor fusion using equalization of state variables and feedback structure. First, the state variables measured from INS of main sensor with large error and DVL of assistance sensor with small error are measured before prediction phase. Next, the equalized state variables are entered to each filter and fused the enhanced state variables for prediction and update phases. Finally, the fused state variables are returned to the main sensor for improving the position estimation of UUV. For evaluation, we create the moving course of UUV by simulation and confirm the performance of position estimation by applying the proposed algorithm. The evaluation results show that the proposed algorithm is the best for position estimation and also possible for robust position estimation at the change period of moving courses.