• Journal of Advanced Marine Engineering and Technology
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• 제37권6호
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• pp.644-652
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• 2013

본 논문은 만타형 무인잠수정의 개발과 실해역 성능시험에 관한 내용을 다룬다. 먼저 만타형 무인 잠수정의 운동성능을 예측하기 위한 시뮬레이션을 수행하였다. 시뮬레이션 결과를 통해서 만타형 잠수정의 운동성능을 검증하였으며 결과를 바탕으로 테스트베드인 만타형 무인잠수정을 설계하였다. 만타 잠수정은 자세 및 경로의 계측을 위하여 DVL (Doppler Velocity Log), Gyrocompass, GPS, 압력센서 등을 탑재하였으며 운항제어를 위한 추진기와 1개의 수직타 4개의 수평타를 장착하여 3자유도 운동이 가능하다. 실해역에서 운동성능시험과 자율운항 성능시험을 통해 만타형 무인잠수정 시스템을 검증하였다.

• 한국정보통신학회논문지
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• 제17권9호
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• pp.2227-2232
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• 2013

유도제어 시스템 체계개발의 초기단계에는 운용 효과도 도출 및 요구사항 적합성 검토를 통한 체계 개략사양도출을 위해 효과도 분석을 수행한다. 본 논문의 목표는 M&S (Modeling & Simulation)를 활용한 운용 효과도 분석을 통해 고속 무인 수중운동체의 목표점 도달 임무를 위한 체계 요구사항 도출이다. 운용 효과도는 대상 수중운동체의 목표점 도달 정확도로 정의한다. 도달 정확도에 가장 큰 영향을 미칠 것으로 예상되는 변수는 항법센서 성능이다. 본 논문에서는 관성항법센서(Inertial Navigation Sensor, INS)와 도플러 속도 측정 장치(Doppler Velocity Log, DVL)를 이용한 복합항법을 고려하였다. 몬테카를로 수치 시뮬레이션을 통해 항법센서 성능에 대한 효과도 분석을 수행한다. 몬테카를로 수치 시뮬레이션 결과는 CEP(Circular Error Probability)와 분산을 이용한 확률분석을 통해 분석한다. 상용 항법센서 가격을 고려하여 최적의 가격대 성능비를 갖는 항법센서 성능을 제시한다.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2003년도 춘계학술대회 논문집
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• pp.141-148
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• 2003

This paper presents a rotating ann test for assessment of an underwater hybrid navigation system for a semi-autonomous underwater vehicle. The navigation system consists of an inertial measurement unit (IMU), an ultra-short baseline (USBL) acoustic navigation sensor and a doppler velocity log (DVL) accompanying a magnetic compass. The errors of inertial measurement units increase with time due to the bias errors of gyros and accelerometers. A navigational system model is derived to include the error model of the USBL acoustic navigation sensor and the scale effect and bias errors of the DVL, of which the state equation composed of the navigation states and sensor parameters is 25 in the order. The conventional extended Kalman filter was used to propagate the error covariance, update the measurement errors and correct the state equation when the measurements are available. The rotating ann tests are conducted in the Ocean Engineering Basin of KRISO, KORDI to generate circular motion in laboratory, where the USBL system was absent in the basin. The hybrid underwater navigation system shows good tracking performance against the circular planar motion. Additionally this paper checked the effects of the sampling ratio of the navigation system and the possibility of the dead reckoning with the DVL and the magnetic compass to estimate the position of the vehicle.

• 한국해양공학회지
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• 제31권4호
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• pp.315-323
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• 2017

This paper presents an integrated navigation system that combines ultra-short baseline (USBL), Doppler velocity log (DVL), and heading measurements for a deep-sea remotely operated vehicle, Hemire. A navigation model is introduced based on the kinematic relation of the position and velocity. The system states are predicted using the navigation model and corrected with the USBL, DVL, and heading measurements using the Kalman filter. The performance of the navigation system was confirmed through re-navigation simulations with the measured data at the Southern Mariana Arc submarine volcanoes. Based on the characteristics of the measurements, the design process for the parameters of the system modeling error covariance, measurement error covariance, and initial error covariance are presented. This paper reviews the influence of the outliers and blackout of the USBL and DVL measurements, and proposes an outlier rejection algorithm that is robust to USBL blackout. The effectiveness of the method is demonstrated with re-navigation for the data that includes USBL blackouts.

• 한국정보통신학회논문지
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• 제19권11호
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• pp.2751-2757
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• 2015

유도제어 시스템 체계 개발의 초기단계에는 운용 효과도 도출 및 요구사항 적합성 검토를 통한 체계 개략사양도출을 위해 효과도 분석을 수행한다. 본 논문에서는 M&S (Modeling & Simulation)를 활용하여 항법센서 성능과 환경영향(조류의 세기와 방향)에 따른 유도제어 시스템의 목표점 도달 정확도에 대한 운용 효과도 분석을 수행한다. 효과도 분석을 위해 6자유도 운동모델, 환경모델, 유도항법제어모델을 구성한다. 항법센서는 관성항법센서(Inertia Navigation Sensor, INS)와 도플러 속도센서(Doppler Velocity Log, DVL)로 구성하고, 환경변수는 조류(current)의 세기와 방향이다. 수치 시뮬레이션 결과는 CEP(Circular Error Probability)와 분산을 이용한 확률분석으로 분석한다. 효과도 분석 결과는 항법센서의 가격을 고려한 비용 대비 효율 분석에 활용하여 가격 대비 높은 성능의 센서 사양을 도출할 수 있다. 본 논문에서는 높은 수준의 INS와 낮은 수준의 DVL을 이용하면 가격 대비 성능이 높은 복합항법센서를 구성한다는 것을 보여준다.

• 제어로봇시스템학회논문지
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• 제22권7호
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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.

• 한국항해항만학회지
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• 제33권2호
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• pp.99-104
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• 2009

The Kinematic GPS is well known to provide a quite good accuracy of positioning within an level. Although kinematic GPS assures high precision measurement on the basis of an appreciable distance between a reference station and an observational point, it has measurable distance restriction within 20 km from a reference station on land. Therefore, it is necessary to make out a simple and low-cost method to obtain accurate positioning information without distance restriction In this paper, the velocity integration method to get the precise velocity information of a ship is explained. The experimental results of Zig-zag maneuver and Williamson turn as the ship's maneuvering test, and other experimental results of ship's movement during leaving and entering the port with low speed were shown. From the experimental results, ship's course, speed and position are compared with those obtained by kinematic-GPS, velocity integration method and dead reckoning position using Gyro-compass and Doppler-log.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 Asia Navigation Conference
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• pp.49-55
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• 2006

Kinematic GPS provides quite good accuracy of position in cm level. Though K-GPS assures high precision measurement in cm level on the basis of an appreciable distance between a station and an observational point, but it has measurable distance restriction within 20 km from a reference station on land. So it is necessary to make out a simple and low-cost method to obtain accurate positioning information without distance restriction. In this paper, the velocity integration method to get the precise velocity information of ship is explained. Next two experimental results (Zig-zag maneuvering test and Williamson turn) as the ship's maneuvering test and also the experimental results of leaving and entering port as slow speed ship's movement were shown. In these experimental results, ship's course, speed and position are compared with those obtained by kinematic-GPS, velocity integration method and dead reckoning position using Gyro-compass and Doppler-log.

• 한국해양공학회지
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• 제28권6호
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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.

• 로봇학회논문지
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• 제9권4호
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• pp.216-224
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• 2014

This paper compares methods for attitude estimation of a UUV(Unmanned Underwater Vehicle). Attitude estimation plays a key role in underwater navigation using DVL(Doppler Velocity Log). The paper proposes attitude estimation methods using EKF(Extended Kalman Filter), UKF(Unscented Kalman Filter), and CF(Complementary Filter). It derives methods using the measurements from MEMS-AHRS(Microelectromechanical Systems-Attitude Heading Reference System) and DVL. The methods are used for navigation in a test pool and their navigation performance is compared. The results suggest that even if there is no measurement relative to some absolute landmarks, DVL-only navigation can be useful for navigation in a limited time and range.