• 제목/요약/키워드: Automatic docking

검색결과 16건 처리시간 0.021초

드론 함상 착륙을 위한 도킹 방식의 자동 착륙 시스템 개발 및 시험 (Development and Test of a Docking Type Automatic Landing System for Shipboard Landing )

  • 박민수;김성욱;유혁
    • 항공우주시스템공학회지
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    • 제18권2호
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    • pp.47-55
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    • 2024
  • 공중 무인 이동체(UAV)인 드론을 해상 무인 이동체(USV)와 자율 협력하여 임무를 수행하기 위해선 자동 착륙 시스템이 필요하다. 본 논문에서는 피라미드 형상의 착륙 장치와 패드를 기반으로 한 도킹 방식의 자동 착륙 시스템을 제안하였다. 파도, 바람 등 해상 환경에 의해 영향을 받더라도 드론이 착지할 수 있도록 유도하고, 결합(Docking) 장치를 통해 순간적으로 고정할 수 있다. 3-DoF 모션 플랫폼으로 함상의 거동을 모사하여 착륙 시험을 수행하였으며, 도킹 방식 자동 착륙 시스템의 운용·활용 가능성을 확인하였다.

Prediction of Motion State of a Docking Small Planing Ship using Artificial Neural Network

  • Hoang Thien Vu;Thi Thanh Diep Nguyen;Hyeon Kyu Yoon
    • 한국항해항만학회지
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    • 제48권2호
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    • pp.116-124
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    • 2024
  • Automatic docking of small planing ship is a critical aspect of maritime operations, requiring accurate prediction of motion states to ensure safe and efficient maneuvers. This study investigates the use of Artificial Neural Network (ANN) to predict motion state of a small planing ship to enhance navigation automation in port environments. To achieve this, simulation tests were conducted to control a small planing ship while docking at various heading angles in calm water and in waves. Comprehensive analysis of the ANN-based predictive model was conducted by training and validation using data from various docking situations to improve its ability to accurately capture motion characteristics of a small planing ship. The trained ANN model was used to predict the motion state of the small planning ship based on any initial motion state. Results showed that the small planing ship could dock smoothly in both calm water and waves conditions, confirming the accuracy and reliability of the proposed method for prediction. Moreover, the ANN-based prediction model can adjust the dynamic model of the small planing ship to adapt in real-time and enhance the robustness of an automatic positioning system. This study contributes to the ongoing development of automated navigation systems and facilitates safer and more efficient maritime transport operations.

장애인 차량을 위한 탈착식 시트의 자동 위치감지시스템에 관한 연구 (A Study on Automatic Position Detection System for the Detachable Mobile Seat of a Vehicle for the Handicapped)

  • 윤재웅;이수철
    • 한국산업정보학회논문지
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    • 제17권7호
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    • pp.25-33
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    • 2012
  • 본 논문에서는, 스스로 차량에 탑승하기 어려운 장애인을 대상으로 하는 장애인용 차량의 탈착식 시트에 관한 연구 내용을 다루었다. 탈착식 시트는 운전석의 시트가 휠체어 역할을 하는 시트를 의미하며, 본 연구는 이 시트가 차량에 자동으로 도킹하는 시스템에 관해 다루고 있다. 현재 출시되어 있는 탈착식 시트의 경우에는 주로 탑승자가 조이 스틱 등을 이용하여 수작업으로 도킹을 시도하고 있지만 이것은 불편한 장애인의 도킹을 매우 어렵게 하는 원인이 되고 있다. 본 연구에서는 차량 앞에있는 휠체어와의 위치를 자동으로 감지하고 측정하는 방법에 대해 기술하였다. 차량의 문에 도착해 있는 휠체어의 위치를 자동으로 감지하기 위해 리프트에 두 개의 초음파센서를 부착하였다. 초음파센서는 휠체어 뒷면에 부착된 감지판의 위치와 그 거리를 측정하게 된다. 본 논문에서는 휠체어와 리프트의 자동 도킹을 위한 세부적인 절차와 방법을 제시하였고, 그 정밀도도 분석함으로써 실질적인 활용이 가능함을 입증하였다.

자동접안을 위한 의사위성 보강 측위기법에 관한 연구 (A Study on Pseudolite-augmented Positioning Method for Automatic Docking)

  • 박상현;조득재;오세웅
    • 한국항해항만학회지
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    • 제30권10호
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    • pp.839-845
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    • 2006
  • 선박 접안을 돕기 위해 레이저 접안 장치는 부두에 설치된 레이저 센서로부터 선박까지의 거리를 센티미터 수준의 정확도로 측정하여 제공한다. 그러나, 레이저 접안 장치는 레이저 센서의 정확한 설치 위치를 알아야 하고, 선박이 접안하는 부두의 전 범위를 다룰 수 있도록 설치되어야 하며, 부두의 선적 및 하역 환경, 조수의 변동을 고려해야 하는 문제가 있다. 특히 레이저 센서 거리 측정기는 가격이 비싸고, 거리를 측정할 수 있는 범위가 좁다는 단점이 있다. 레이저 접안 장치가 지닌 이상과 같은 문제를 해결하기 위한 방법으로 제안된 방법이 반송파보정 측위 기법이다. 본 논문에서는 상대 수평측위 정확 희석도 시뮬레이션을 통하여 레이저 접안 장치가 지닌 문제를 해결하기 위해 기존에 제안된 반송파 보정 측위기법이 연속성을 갖는 센티미터 정확도의 측위 서비스가 어려움을 보이고, 이를 해결하기 위한 방법으로 의사위성 보강 측위기법을 제안한다. 본 논문은 의사위성을 반송파 보정 측위성능 향상을 위해 사용하며, 제안한 측위기법이 기존에 반송파 보정 측위기법과 달리 연속성을 갖는 센티미터 정확도의 측위 서비스가 가능함을 보인다. 또한 제안한 측위기법이 선박 자동접안을 위해 요구하는 측위성능을 만족시키는 기법임을 필드시험을 위해 구축한 테스트 베드에서 확인한다.

Mechanism Development and Position Control of Smart Buoy Robot

  • Park, Hwi-Geun;Kim, Hyun-Sik
    • 한국해양공학회지
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    • 제35권4호
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    • pp.305-312
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    • 2021
  • There is a gradual increase in the need for energy charging in marine environments because of energy limitations experienced by electric ships and marine robots. Buoys are considered potential energy charging systems, but there are several challenges, which include the need to maintain a fixed position and avoid hazards, dock with ships and robots in order to charge them, be robust to actions by birds, ships, and robots. To solve these problems, this study proposes a smart buoy robot that has multiple thrusters, multiple docking and charging parts, a bird spike, a radar reflector, a light, a camera, and an anchor, and its mechanism is developed. To verify the performance of the smart buoy robot, the position control under disturbance due to wave currents and functional tests such as docking, charging, lighting, and anchoring are performed. Experimental results show that the smart buoy robot can operate under disturbances and is functionally effective. Therefore, the smart buoy robot is suitable as an energy charging system and has potential in realistic applications.

회전 레이져 슬릿 빔을 이용한 AGV 이동위치 검출 (Detection of Moving Position of AGV Using Rotating LSB(Laser Slit Beam))

  • 김선호;박경택;박건국;안중환
    • 한국정밀공학회지
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    • 제18권12호
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    • pp.137-144
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    • 2001
  • The major movement blocks of the container are the range between the apron and the designation points on yard in container terminals. The yard tractor drived by operator takes charge of it's movement in conventional container terminals. In automated container terminal, AGV(automatic guided vehicle) takes charge of a yard tractor's role and information of navigation path are ordered from upper control system. The automated container terminal facilities must have the docking system that guides landing zinc to execute high speed travelling and precision positioning. This paper describes the new docking method with the rotating LSB(laser slit beam) generator and two pair of photo receiver. The LSB generator is installed on the fixed ground and the photo receiver is implemented on the moving vehicle such as AGV. The proposed docking system is implemented to confirm it's function and accuracy. The accuracy of measured moving position is represented in ±5mm at 1 data sampling.

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이동로봇의 자동충전을 위한 영상기반 비쥬얼 서보잉 방법 (Image-based Visual Servoing for Automatic Recharging of Mobile Robot)

  • 송호범;조재승
    • 제어로봇시스템학회논문지
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    • 제13권7호
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    • pp.664-670
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    • 2007
  • This study deals with image-based visual servoing for automatic recharging of mobile robot. Because mobile robot must be recharged periodically, it is necessary to detect and move to docking station. Generally, laser scanner is used for detect of position of docking station. CCD Camera is also used for this purpose. In case of using cameras, the position-based visual servoing method is widely used. But position-based visual servoing method requires the accurate calibration and it is hard and complex work. Another method using cameras is image-based visual servoing. Recently, image based visual servoing is widely used for robotic application. But it has a problem that cannot have linear trajectory in the 3-dimensional space. Because of this weak point, image-based visual servoing has a limit for real application. In case of 2-dimensional movement on the plane, it has also similar problem. In order to solve this problem, we point out the main reason of the problem of the resolved rate control method that has been generally used in the image-based visual servoing and we propose an image-based visual servoing method that can reduce the curved trajectory of mobile robot in the cartesian space.

Design and Verification of Spacecraft Pose Estimation Algorithm using Deep Learning

  • Shinhye Moon;Sang-Young Park;Seunggwon Jeon;Dae-Eun Kang
    • Journal of Astronomy and Space Sciences
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    • 제41권2호
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    • pp.61-78
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    • 2024
  • This study developed a real-time spacecraft pose estimation algorithm that combined a deep learning model and the least-squares method. Pose estimation in space is crucial for automatic rendezvous docking and inter-spacecraft communication. Owing to the difficulty in training deep learning models in space, we showed that actual experimental results could be predicted through software simulations on the ground. We integrated deep learning with nonlinear least squares (NLS) to predict the pose from a single spacecraft image in real time. We constructed a virtual environment capable of mass-producing synthetic images to train a deep learning model. This study proposed a method for training a deep learning model using pure synthetic images. Further, a visual-based real-time estimation system suitable for use in a flight testbed was constructed. Consequently, it was verified that the hardware experimental results could be predicted from software simulations with the same environment and relative distance. This study showed that a deep learning model trained using only synthetic images can be sufficiently applied to real images. Thus, this study proposed a real-time pose estimation software for automatic docking and demonstrated that the method constructed with only synthetic data was applicable in space.

실내 환경에서의 경비로봇용 주행시스템 (A Navigation System for a Patrol Robot in Indoor Environments)

  • 최병욱;이영민;박정호;신동관
    • 로봇학회논문지
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    • 제1권2호
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    • pp.117-124
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    • 2006
  • In this paper, we develope the navigation system for patrol robots in indoor environment. The proposed system consists of PDA map modelling, a localization algorithm based on a global position sensor and an automatic charging station. For the practical use in security system, the PDA is used to build object map on the given indoor map. And the builded map is downloaded to the mobile robot and used in path planning. The global path planning is performed with a localization sensor and the downloaded map. As a main controller, we use PXA270 based hardware platform in which embedded linux 2.6 is developed. Data handling for various sensors and the localization algorithm are performed in the linux platform. Also, we implemented a local path planning algorithm for object avoidance with ultra sonar sensors. Finally, for the automatic charging, we use an infrared ray system and develop a docking algorithm. The navigation system is experimented with the two-wheeled mobile robot using North-Star localization system.

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Axiomatic design study for automatic ship-to-ship mooring system for container operations in open sea

  • Kim, Yong Yook;Choi, Kook-Jin;Chung, Hyun;Lee, Phill-Seung
    • Ocean Systems Engineering
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    • 제1권2호
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    • pp.157-169
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    • 2011
  • To provide more rational design solutions at conceptual design level, axiomatic design method has been applied to solve critical part of a new engineering problem called Mobile Harbor. In the implementation, the Mobile Harbor, a functional harbor system that consists of a vessel with container crane approaches to a container ship anchored in the open sea and establishes a secure mooring between the two vessels to carry out loading and unloading of containers. For this moving harbor system to be able to operate successfully, a reliable and safe strategy to moor and maintain constant distance between the two vessels in winds and waves is required. The design process of automatic ship-to-ship mooring system to satisfy the requirements of establishing and maintaining secure mooring has been managed using axiomatic design principles. Properly defining and disseminating Functional Requirements, clarifying interface requirements between its subsystems, and identifying potential conflict, i.e. functional coupling, at the earliest stage of design as much as possible are all part of what need to be managed in a system design project. In this paper, we discuss the automatic docking system design project under the umbrella of KAIST mobile harbor project to illustrate how the Axiomatic Design process can facilitate design projects for a large and complex engineering system. The solidified design is presented as a result.