• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1099-1104
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• 2003

In this paper, the position control of a car-like mobile robot using neural network is proposed. The positional information of the mobile robot is given by a laser range finder located remotely through wireless communication. The heading angle is measured by a gyro sensor. Considering these two sensor information as references, the robot posture by localization is corrected by a cascaded controller. In order to improve the tracking performance, a neural network with a cascaded controller is used to compensate for any uncertainty in the robot. The remotely located neural network filter modifies the reference trajectories to minimize the positional errors by wireless communication. A car-like mobile robot is built as a test-bed and experimental studies of proposed several control algorithms are performed. It turns out that the best position control can be achieved by a cascaded controller with neural network.

• Ocean Systems Engineering
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• 제9권4호
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• pp.391-407
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• 2019

Tracking the location (position) of a surface or underwater marine vehicle is important as part of guidance and navigation. While the Global Positioning System (GPS) works well in an open sea environment but its use is limited whenever testing scaled-down models of such vehicles in the laboratory environment. This paper presents the design, development and implementation of a low energy ultrasonic augmented single beacon-based localization technique suitable for such requirements. The strategy consists of applying Extended Kalman Filter (EKF) to achieve location tracking from basic dynamic distance measurements of the moving model from a fixed beacon, while on-board motion sensor measures heading angle and velocity. Iterative application of the Extended Kalman Filter yields x and y co-ordinate positions of the moving model. Tests performed on a free-running ship model in a wave basin facility of dimension 30 m by 30 m by 3 m water depth validate the proposed model. The test results show quick convergence with an error of few centimeters in the estimated position of the ship model. The proposed technique has application in the real field scenario by replacing the ultrasonic sensor with industrial grade long range acoustic modem. As compared with the existing systems such as LBL, SBL, USBL and others localization techniques, the proposed technique can save deployment cost and also cut the cost on number of acoustic modems involved.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제53권4호
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• pp.247-254
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• 2004

The mechanical informations such as the rotor speed and angle are required to operate the Cylindrical Permanent Magnet Synchronous Motor(PMSM). A resolver or encoder is typically used to supply the mechanical informations. This position sensor adds length to the machine, raises system cost, increases rotor inertia and requires additional devices. As the result, there has been a significant interest in the development of sensorless strategies to eliminate the position sensor. This paper presents an implementation of the new sensorless speed comtrol scheme for a PMSM. In the proposed algorithm, the line currents are estimated by a observer and the estimated speed can be yielded from the voltage equation because the information of speed is included in back emf. But the speed estimation error between the estimated and the real speeds is occured by errors due to measuring the motor parameters and sensing the line current and the input voltage. To minimize the speed estimations error, the estimated speeds are compensated by using an instantaneous reactive power in synchronously rotating reference frame. In this paper, the proposed algorithm is not affected by mechanical motor parameters because the mechanical equation is not used. The effectiveness of algorithm is confirmed by the experiments.

• 제어로봇시스템학회논문지
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• 제20권1호
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• pp.70-77
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• 2014

This paper proposes a novel localization algorithm based on ego-motion which used Lucas-Kanade Optical Flow and warping image obtained through fish-eye lenses mounted on the robots. The omnidirectional image sensor is a desirable sensor for real-time view-based recognition of a robot because the all information around the robot can be obtained simultaneously. The preprocessing (distortion correction, image merge, etc.) of the omnidirectional image which obtained by camera using reflect in mirror or by connection of multiple camera images is essential because it is difficult to obtain information from the original image. The core of the proposed algorithm may be summarized as follows: First, we capture instantaneous $360^{\circ}$ panoramic images around a robot through fish-eye lenses which are mounted in the bottom direction. Second, we extract motion vectors using Lucas-Kanade Optical Flow in preprocessed image. Third, we estimate the robot position and angle using ego-motion method which used direction of vector and vanishing point obtained by RANSAC. We confirmed the reliability of localization algorithm using ego-motion based on fisheye warping image through comparison between results (position and angle) of the experiment obtained using the proposed algorithm and results of the experiment measured from Global Vision Localization System.

• International Journal of Ocean System Engineering
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• 제1권4호
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• pp.192-197
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• 2011

This paper describes the mathematical modeling, control algorithm, system design, hardware implementation and experimental test of a Manta-type Unmanned Underwater Vehicle (MUUV). The vehicle has one thruster for longitudinal propulsion, one rudder for heading angle control and two elevators for depth control. It is equipped with a pressure sensor for measuring water depth and Doppler Velocity Log for measuring position and angle. The vehicle is controlled by an on-board PC, which runs with the Windows XP operating system. The dynamic model of 6DOF is derived including the hydrodynamic forces and moments acting on the vehicle, while the hydrodynamic coefficients related to the forces and moments are obtained from experiments or estimated numerically. We also utilized the values obtained from PMM (Planar Motion Mechanism) tests found in the previous publications for numerical simulations. Various controllers such as PID, Sliding mode, Fuzzy and $H{\infty}$ are designed for depth and heading angle control in order to compare the performance of each controller based on simulation. In addition, experimental tests are carried out in a towing tank for depth keeping and heading angle tracking.

• 항공우주기술
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• 제4권1호
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• pp.260-267
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• 2005

소형무인기용으로 개조된 가솔린 엔진에 장착될 수 있는 소형전자점화장치의 개발과정을 기술하였다. 소형전자점화장치는 엔진회전수와 흡기부압과의 관계 테이블에서 최적의 점화진각을 선택하여 스파크점화를 할 수 있으며 PC와의 통신을 통해 점화진각값과 Hall 센서의 위치값을 조절할 수 있다. 소형전자점화장치 개발기술은 국내 소형무인기 개발에 필요한 동력장치의 핵심기술이 될 것이다.

• Journal of Biosystems Engineering
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• 제33권6호
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• pp.416-422
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• 2008

This study was performed to design and construct a digital soil shear stress sensor in order to replace the conventional devices for measuring soil shear property. The developed digital shear stress measuring device can store measured data with GPS position information as a vector format into a computer. Based on the experiments at various field conditions, the measuring characteristic of the device was quite similar to that of a conventional device, SR-2 that has been a major tool to measure the soil shear property. It was concluded that the digital shear stress measuring device was an effective and comprehensive sensor for measuring soil shear property.

• Journal of Multimedia Information System
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• 제4권1호
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• pp.9-18
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• 2017

Ubiquitous computing is a novel paradigm that is rapidly gaining in the scenario of wireless communications and telecommunications for realizing smart world. As rapid development of sensor technology, smart sensor system becomes more popular in automobile or vehicle. In this study, a new vehicle detection mechanism in real-time for blind spot area is proposed based on imaging sensors. To determine the position of other vehicles on the road is important for operation of driver assistance systems (DASs) to increase driving safety. As the result, blind spot detection of vehicles is addressed using an automobile detection algorithm for blind spots. The proposed vehicle verification utilizes the height and angle of a rear-looking vehicle mounted camera. Candidate vehicle information is extracted using adaptive shadow detection based on brightness values of an image of a vehicle area. The vehicle is verified using a training set with Haar-like features of candidate vehicles. Using these processes, moving vehicles can be detected in blind spots. The detection ratio of true vehicles was 91.1% in blind spots based on various experimental results.

• 한국항행학회논문지
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• 제20권6호
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• pp.574-579
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• 2016

쿼드로터는 일반 무인항공기와 달리 구조가 단순하고 그 활용 가치가 매우 높아 많은 사람들의 관심을 받고 있다. 하지만 드론에 대한 관심이 높아짐에 따라 항공 안전사고 또는 분실에 대비한 비행체의 안정성과 위치파악의 중요성이 대두되고 있다. 따라서 본 논문에서는 쿼드로터의 모델링을 수식적으로 유도하여 이를 선형화시켜 간단한 제어기로 모델을 안정화시키고 다양한 센서로부터 얻은 데이터를 필터를 거쳐 기울어진 정도를 파악하여 보다 안정한 호버링이 가능한 추적 시스템을 제안하였다. 개발된 추적시스템은 비행 중인 쿼드로터의 위치를 컴퓨터로 전송해 이를 경로로 나타내어 비행경로를 파악할 수 있고 비행속도, 고도 등의 다양한 정보를 동시에 확인할 수 있게 하였다. 그리고 실제 쿼드로터에 사용되는 센서는 외란과 진동에 의해 정확한 센서 값을 측정할 수 없기 때문에 칼만필터와 상보필터를 통한 센서 결합으로 이를 극복하여 쿼드로터 호버링의 안정성을 PID 제어를 통해 구현하였다. 이를 모의 실험을 통하여 쿼드로터의 속도, 위치, 고도 등의 다양한 정보를 실시간으로 확인하였다.

• 전자공학회논문지SC
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• 제47권6호
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• pp.33-42
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• 2010

본 연구에서는 실해역에서 해류를 고려한 실용적인 유도 시스템을 제안하고 있다. 본 논문에서는 생성된 경로의 최적성은 주요 이슈가 아니다. 시작점부터 목표점까지의 경로는 주요 해류의 방향축을 고려하여 운용 경험이 많은 전문가의 경유점 선택을 통하여 생성된다. 본 논문에서는 또한 초단기선, GPS, 도플러 속도계 그리고 자세센서 등의 계측치를 통해서 다중센서융합알고리즘을 이용하여 정밀 수중항법 솔루션 구현에 대하여 설명하고 있다. 정밀하고 정확하고 갱신 주기가 빠른 수중항법 솔루션을 구현하기 위하여 세 가지 전략을 사용하였다. 첫째는 추측항법의 단독 성능을 향상시키기 위하여 선수각 정밀 정렬을 수행하였다. 둘째는 기본이 되는 단독추측항법이 적분 알고리즘에 기반을 두었기 때문에 시간의 추이에 따른 누적오차의 증가 특성을 가지고 있는데 이를 막기 위하여 주기적으로 절대 위치 정보를 다중센서융합 기법을 이용하여 융합하여 주는 것이다. 셋째는 융합알고리즘의 품질 향상을 위하여 효율적인 특이점 제거 알고리즘을 도입하는 것이다. 개발된 정밀수중항법알고리즘의 성능을 검증하기 위하여 자율기뢰처리기와 심해무인잠수정의 실해역 데이터를 사용하였다.