• 제목/요약/키워드: Docking Station

검색결과 30건 처리시간 0.028초

불확실성이 포함된 무인잠수정의 도킹 평가 알고리즘 (Docking Assessment Algorithm for AUVs with Uncertainties)

  • 천승재;서주노;정성훈
    • 한국항행학회논문지
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    • 제23권5호
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    • pp.352-360
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    • 2019
  • 본 논문은 센서에 불확실성이 존재하는 무인잠수정에 대한 도킹 평가 알고리즘을 제안한다. 제안된 알고리즘은 상태평가와 확률평가 두 가지의 평가로 구성된다. 상태평가는 무인잠수정이 도킹스테이션에 접근하는 과정 중 심도제어를 통해 도킹스테이션과 동일한 수심에 도달하는데 발생 예상되는 전진거리와 실제 수평거리를 비교함으로써 심도 도달 가능 여부를, 무인잠수정의 최소선회반경으로 인한 접근 불가 영역과 도킹스테이션의 위치를 비교함으로써 충돌 회피를 위한 선회 동작 수행 여부를 확인한다. 상태평가를 만족하며 무인잠수정이 도킹스테이션에 일정 거리 이상 접근한 경우 확률평가를 수행하여 무인잠수정의 방향각과 도킹스테이션에 대한 상대위치, 그리고 센서 불확실성을 기반으로 도킹 성공확률을 산출한다. 최종적으로 산출된 도킹 성공확률을 설계된 문턱 값과 비교함으로써 도킹 수행 여부를 결정한다. Matlab 기반의 시뮬레이션을 통해 무인잠수정이 도킹스테이션에 접근하는 시나리오를 구성하여 제안하는 알고리즘의 유효성을 검증한다.

Flexible Docking Mechanism with Error-Compensation Capability for Auto Recharging System of Mobile Robot

  • Roh, Se-Gon;Park, Jae-Hoon;Lee, Young-Hoon;Song, Young-Kouk;Yang, Kwang-Woong;Choi, Moo-Sung;Kim, Hong-Seok;Lee, Ho-Gil;Choi, Hyouk-Ryeol
    • International Journal of Control, Automation, and Systems
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    • 제6권5호
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    • pp.731-739
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    • 2008
  • The docking and recharging system for a mobile robot must guarantee the ability to perform its tasks continuously without human intervention. This paper proposes two docking mechanisms with localization error-compensation capability for an auto recharging system. The mechanisms use friction forces or magnetic forces between the docking parts of the robot and those of the docking station. It is a structure to improve the allowance ranges of lateral and directional docking offsets, in which the robot is able to dock into the docking station. In this paper, auto-recharging system and the features of the proposed mechanisms are verified with experimental results using simple homing method.

무인선의 도킹을 위한 유도법칙 설계 (Design of Guidance Law for Docking of Unmanned Surface Vehicle)

  • 우주현;김낙완
    • 한국해양공학회지
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    • 제30권3호
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    • pp.208-213
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    • 2016
  • This paper proposes a potential field-based guidance law for docking a USV (unmanned surface vehicle). In most cases, a USV without side thrusters is an under-actuated system. Thus, there are undockable regions near docking stations where a USV cannot dock to a docking station without causing a collision or backward motion. This paper suggest a guidance law that prevents a USV from enter such a region by decreasing the lateral error to the docking station at the initial stage of the docking process. A Monte-carlo simulation was performed to validate the performance of the proposed method. The proposed method was compared to conventional guidance laws such as pure pursuit guidance and pure/lead pursuit guidance. As a result, the collision angle and lateral distance error of proposed method tended to have lower values compared to conventional methods.

무인잠수정의 도킹 과정 평가를 위한 확률 기반 평가지표 개발 (Development of Probability-Based Assessment Index for Docking Process Assessment)

  • 천승재;김준영;최중락;정성훈;김종화
    • 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.

Mission Management Technique for Multi-sensor-based AUV Docking

  • Kang, Hyungjoo;Cho, Gun Rae;Kim, Min-Gyu;Lee, Mun-Jik;Li, Ji-Hong;Kim, Ho Sung;Lee, Hansol;Lee, Gwonsoo
    • 한국해양공학회지
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    • 제36권3호
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    • pp.181-193
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    • 2022
  • This study presents a mission management technique that is a key component of underwater docking system used to expand the operating range of autonomous underwater vehicle (AUV). We analyzed the docking scenario and AUV operating environment, defining the feasible initial area (FIA) level, event level, and global path (GP) command to improve the rate of docking success and AUV safety. Non-holonomic constraints, mounted sensor characteristic, AUV and mission state, and AUV behavior were considered. Using AUV and docking station, we conducted experiments on land and at sea. The first test was conducted on land to prevent loss and damage of the AUV and verify stability and interconnection with other algorithms; it performed well in normal and abnormal situations. Subsequently, we attempted to dock under the sea and verified its performance; it also worked well in a sea environment. In this study, we presented the mission management technique and showed its performance. We demonstrated AUV docking with this algorithm and verified that the rate of docking success was higher compared to those obtained in other studies.

자동충전 시스템을 위한 오차보정이 가능한 유연한 도킹 메커니즘 (Flexible Docking Mechanism with Error-Compensation Capability for Auto Recharging System)

  • 노세곤;박재훈;송영국;양광웅;최무성;김홍석;이호길;최혁렬
    • 로봇학회논문지
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    • 제2권4호
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    • pp.289-296
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    • 2007
  • The docking and recharging system for a mobile robot must guarantee the ability of the mobile robot to perform its tasks continuously without human intervention. In this paper, two docking mechanisms are proposed with localization error-compensation capability for the auto recharging system. Friction forces or magnetic forces are used between the docking parts of the docking module and those of the docking station. In addition, an auto recharging system is developed to control the power. Since the system is modularized, it can easily be adapted to other robots.

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자율무인잠수정의 수중 도킹을 위한 비쥬얼 서보 제어 알고리즘 (A Visual Servo Algorithm for Underwater Docking of an Autonomous Underwater Vehicle (AUV))

  • 이판묵;전봉환;이종무
    • 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.