• Title/Summary/Keyword: underwater positioning system

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Calibration of an underwater robotic inspection system (수중탐상로봇시스템의 오차분석 및 보정)

  • 장종훈;김재열;김재희
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.378-378
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    • 2000
  • The permissible positioning error of the transducer used in reactor inspection must be within 10 mm. To implement the required precision it is necessary to manufacture all components affecting the positioning mechanism correctly and precisely. In addition, it is also necessary to handle error factors accurately. This paper describes the activities of the findings and corrections of the errors which were occurred in experiments. Those activities are; i) Categorization of error factors, ii) Cause analysis of errors, iii) Correction of errors founded in experiments by the analysis of laser induction type and by the validation of real measurement of horizontal, vertical baselines.

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Development of Underwater Vehicle Position Tracking Algorithm by using a Gyro-Doppler Sensor and Ultra Short Base Line (자이로 도플러 센서와 USBL을 통한 수중체 위치추적 알고리즘개발)

  • Kim, Deok-Jin;Park, Dong-Won;Park, Yeon-Sic
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.11
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    • pp.1973-1977
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    • 2006
  • This paper reports the absolute position tracking algorithm of underwater vehicles such as ROV, AUV in global region by fusing sensor informations of IMU, DVL, USBL, DGPS etc. This algorithm is to be used in the position tracking of the 6,000m class deep-sea unmanned underwater vehicle, HEMIRE for scientific exploration.

Navigation System of UUV Using Multi-Sensor Fusion-Based EKF (융합된 다중 센서와 EKF 기반의 무인잠수정의 항법시스템 설계)

  • Park, Young-Sik;Choi, Won-Seok;Han, Seong-Ik;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.7
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    • pp.562-569
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    • 2016
  • This paper proposes a navigation system with a robust localization method for an underwater unmanned vehicle. For robust localization with IMU (Inertial Measurement Unit), a DVL (Doppler Velocity Log), and depth sensors, the EKF (Extended Kalman Filter) has been utilized to fuse multiple nonlinear data. Note that the GPS (Global Positioning System), which can obtain the absolute coordinates of the vehicle, cannot be used in the water. Additionally, the DVL has been used for measuring the relative velocity of the underwater vehicle. The DVL sensor measures the velocity of an object by using Doppler effects, which cause sound frequency changes from the relative velocity between a sound source and an observer. When the vehicle is moving, the motion trajectory to a target position can be recorded by the sensors attached to the vehicle. The performance of the proposed navigation system has been verified through real experiments in which an underwater unmanned vehicle reached a target position by using an IMU as a primary sensor and a DVL as the secondary sensor.

Development of an Extended Kalman Filter Algorithm for the Localization of Underwater Mining Vehicles (해저 집광차량의 위치 추정을 위한 확장 칼만 필터 알고리즘)

  • WON MOON-CHEOL;CHA HYUK-SANG;HONG SUP
    • Journal of Ocean Engineering and Technology
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    • v.19 no.2 s.63
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    • pp.82-89
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    • 2005
  • This study deals with the development of the extended Kalman filter(EKF) algorithm for the localization of underwater mining vehicles. Both simulation and experimental studies in a test bed are carried out. For the experiments, a scale dawn tracked vehicle is run in a soil bin containing cohesive soil of bentonite-water mixture. To develop the EKF algorithm, we use a kinematic model including the inner/outer track slips and the slip angle for the vehicle. The measurements include the inner and outer wheel speeds from encoders, the heading angle from a compass sensor and a fiber optic rate gyro, and x and y coordinate position values from a vision system. The vision sensor replaces the LBL(Long Base Line) sonar system used in the real underwater positioning situations. Artificial noise signals mimicking the real LBL noise signal are added to the vision sensor information. To know the mean slip values of the tracks in both straight and cornering maneuver, several trial running experiments are executed before applying the EKF algorithm. Experimental results show the effectiveness of the EKF algorithm in rejecting the sensor measurements noise. Also, the simulation and experimental results show close correlations.

The Gyroscope Positioning and North Finding System (자이로스코프 위치시스템과 지북시스템)

  • Park, Sok-Chu
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.291-294
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    • 2004
  • There are many position fixing systems in the world from ancient times. But the principles are to compare the position to want to know with the known position already. The position finding system which is not restricted by weather condition and/or electronic apparatus has been sought. The best system is the GPS as far. But the system has the fatal faults as follows; 1. to depend on satellite's accuracy, 2. not to use underwater. This paper is to investigate theoretically position fixing and north finding by using free gyroscope. This paper introduce a position fixing and north finding method by measuring inclination of 2 free gyroscopes. And this system does not depend on the weather condition and underwater condition. What is more, it could use on the planets, if the gravity exits.

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Geophysical Navigation for UUV without External Telemetry Systems (지구 물리정보를 이용한 무인잠수정의 복합 항법 기술)

  • Jang, Junwoo;Cho, Hyunkuen;Kim, Jinwhan;Byun, Seung-Woo
    • 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.

Implementation of Human Positioning Monitoring Device for Underwater Safety (수중안전을 위한 인체 위치추적 모니터링 장치 구현)

  • Jong-Hwa Yoon;Dal-Hwan Yoon
    • Journal of IKEEE
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    • v.27 no.3
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    • pp.225-233
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    • 2023
  • This paper implements a system that monitors human body lifting information in the event of a marine accident. The monitoring system performs ultrasonic communication through a lifting device controller that transmits underwater environment information, and LoRa communication is performed on the water to provide GPS information within 10 km to the control center or mother ship. The underwater lifting controller transmits pneumatic sensor, gyro sensor, and temperature sensor information. In an environment where the underwater conditions increase by one atmosphere of water pressure every 10m in depth, and the amount of air in the instrument decreases by half compared to land, a model of a 60kg underwater mannequin is used. Using one 38g CO2 cartridge in the lifting appliance SMB(Surface Maker Buoy), carry out a lifting appliance discharge test based on the water level rise conditions within 10 sec. Underwater communication constitutes a data transmission environment using a 2,400-bps ultrasonic sensor from a depth of 40m to 100m. The monitoring signal aims to ensure the safety and safe human structure of the salvage worker by providing water depth, water temperature, and directional angle to rescue workers on the surface of the water.

Development of Acoustic Positioning System for ROV using SBL System (SBL방식을 이용한 무인잠수정의 수중초음파 위치측정시스템 개발)

  • Yu, Son-Cheol;Byun, Seung-Woo;Kim, Joon-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.3
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    • pp.808-814
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    • 2010
  • In this paper we executed a SBL(Short Baseline) underwater acoustic positioning system that is a kind of underwater position estimation system to estimates the 3-dimensional position of ROV(Remotely Operated Vehicle) using hydrophones and DAQ(Data Acquisition) system in the basin which dimensions are $3{\times}3{\times}1.7(m)$. For this experiment, we let 4 hydrophones in different positions of the basin for receiver and 1 hydrophone is fixed on the underwater vehicle for transmitting sensor(pinger). These five hydrophones are communicated with each other to find the 3-D positions of the moving ROV in the basin. The measured signals are collected by DAQ system and the positions of the ROV are plotted by LabView program in real-time. To estimate the position of the ROV we used a trigonometric method. In X and Y plane the estimated data has a small errors but in Z plane the estimated data has large errors so we cannot use this data for position control. One solution of this problem is using depth sensor that implemented of the underwater vehicle. Hereafter, we will test in the ocean using designed SBL system.

Structure & Control of Positioning Control System for Underwater Robot Using Gyro (자이로를 이용한 수중로봇 자세제어장치의 구조와 제어)

  • 김준홍
    • Proceedings of the KIPE Conference
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    • 2000.07a
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    • pp.657-660
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    • 2000
  • 전력연구원은 원자로 내부에 적용하기 위한 소형경량의 수중로봇을 개발하기 위한 준비작업으로 자이로를 이용한 수중로봇 조향장치를 개발하고 있다 이장치는 자이로 3개를 조합한 모듈을 서보가 회전시켜 일정한 방향으로 서보의 회전속도에 비례하는 회전토크를 발생하도록 고안되었다 발생된 토크는 작용/반작용의 원리에 의해 서보가 부착되어있는 로봇본체에 작용한다. 이장치를 이용하면 수중로봇의 중심에서 Yaw와 Pitch를 제어할 수 있는 토크가 발생하고 좁은 공간에서 신속한 자세변환이 가능하다 본 고에서는 자이로 조향장치의 구조와 이론적 배경 및 시뮬레이션 결과를 소개한다.

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Development of Slowly moving Short Baseline Underwater Acoustic Positioning System for Estimating the Position of Unmanned Underwater Vehicle (무인잠수정의 위치추정을 위한 동적단기선 방식의 수중초음파 위치추적시스템 개발)

  • Kim, Joon-Young;Byun, Seung-Woo
    • Proceedings of the KAIS Fall Conference
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    • 2009.05a
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    • pp.240-243
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    • 2009
  • 본 논문에서는 수중에서 이동하는 무인잠수정 및 수중이동체의 위치를 측정하는 방법 중의 하나인 동적 단기선 방식(SBL)에 의한 무인잠수정의 위치측정에 대한 방법을 하이드로폰과 DAQ(Data Aquisition) 시스템을 이용하여 수조에서 테스트를 수행하였고, 실 해역에서의 실험을 실시하였다. 실험을 위해서 4개의 센서가 수조의 벽면에 고정이 되어 있으며, 이동체와 고정된 4개의 센서가 신호를 송수신함으로써 상호간의 위치추적이 가능하게 하는 시뮬레이션을 실시하였으며, 제안하는 SBL시스템과 장기선 방식(Long baseline)을 비교하기위한 시뮬레이션을 실시하여 두 시스템을 비교하였다. 측정된 신호는 DAQ 시스템을 이용하여 데이터를 취득하였고, Labview 프로그램을 이용하여 실시간으로 무인잠수정의 위치를 추정하였다. 위치추정에 사용된 알고리즘은 삼각측량법에 의한 방법을 사용하였으며, X, Y방향에 대해서는 비교적 오차가 적은 추정 결과를 나타내었으나 Z방향에 대하여서는 큰 오차를 보여 데이터로 사용할 수 가 없었다. 이는 수중이동체의 수심측정 센서를 이용하여 보완할 수 있을 것으로 본다. 향후 연구로는 위치추정 알고리즘을 보완하여 실제 선박 선저부에 센서가 부착되었을 경우에 대한 적용연구를 진행할 예정이며, 위치추정 알고리즘을 발전시켜 3차원에서의 정확한 위치 추적을 가능하게 할 예정이다.

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