• 한국산학기술학회논문지
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• 제13권8호
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• pp.3319-3325
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• 2012

본 논문은 반도체 포토장비의 이산 이벤트 시뮬레이터인 TrackSim의 개발에 관한 것이다. TrackSim은 포토 장비의 시뮬레이션 엔진과 사용하기 쉬운 사용자 환경을 포함하는 시뮬레이터로, 다양한 프로세스 모듈의 구성 및 운영 방법을 효율적으로 평가, 검증, 스케쥴링할 수 있는 3차원 시뮬레이션 환경을 제공한다. TrackSim은 반도체 산업에서 많이 사용되는 이산 사건 시뮬레이션 소프트웨어인 AutoMod를 기반으로 개발되어 시뮬레이션 신뢰성이 보장되며, AutoMod로 개발된 반도체 제조라인 시뮬레이션 모델 속에 함께 연동하여 사용이 가능하다는 특징이 있다.

• 한국군사과학기술학회지
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• 제11권3호
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• pp.50-57
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• 2008

A telemetry ground station has a highly directional, parabolic tracking antenna to receive a weak telemetry signal from a target at a distance. The tracking antenna with narrow beam-width normally uses the auto-track method for the target tracking. This paper presents several issues in the auto-track method and introduces a new tracking method using Self-Slaving technique. Self-Slaving means that the tracking antenna is slaved to not data measured by RADAR but GPS/INS informations received by the telemetry system for pointing. The Self-Slaving method shows good performance in comparison with auto-track method.

• 한국항공우주학회지
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• 제42권10호
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• pp.851-857
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• 2014

본 논문에서는 무인기의 다양한 비행모드 중 자동선회 모드의 확장을 위해 자동 장주비행 모드 (auto race-track mode)와 8자 비행모드 (Figure 8 mode)를 구현하기 위한 알고리즘과 비행로직을 제안하고, 이에 대한 시뮬레이션 평가를 수행하여 제안된 비행모드의 검증을 수행하였다. 일반적으로 자동선회 모드는 지정된 선회반경을 유지하는 원선회 비행 (circle flight)을 지칭하게 되는데, 자동 장주비행 모드와 8자 비행 모드를 구현하게 되면 이착륙 안정성 증대와 수행 임무영역을 확장할 수 있게 된다. 이러한 자동 장주비행 모드와 8자 비행모드의 구현을 위한 알고리즘과 비행체의 위치 및 선회방향에 관계없이 비행모드를 구성할 수 있는 비행로직 구현을 정리하였으며, 제안된 알고리즘과 비행로직의 검증을 위해 중형급 무인기를 대상으로 시뮬레이션을 수행하였다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2013년도 춘계학술대회
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• pp.17-20
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• 2013

본 연구는 외란하에서 선박 트랙 키핑에 대한 수치시뮬레이션 문제를 다루었다. 이용된 선박 모델은 새누리호 선박을 이용하여, 목포항 입구부터, 목표 부두까지 항로에서의 항로 추종를 자동제어 기법을 이용하여 시뮬레이션 수행하였다. 기존 과거 연구의 선박 트랙 키핑 문제는 주로 정속에서 수행되었으나, 본 연구에서 부두에 접안하기 전 단계까지를 감안하여, 선박 속도를 저하시키며, 접안 하기 직전 선박이 목표 지점에 도달하여 정지할 때까지의 트랙 키핑 문제를 다루었다. 사용 제어 기법은 PID기법, 외란으로 바람 영향을 고려한 트랙키핑 시뮬레이션을 수행하였고, 그 결과 접안 직전 지점까지 적정하게 속도를 저하시키며, 원하는 항로를 따라 자동 제어 됨을 알 수 있었다.

• 한국항해학회지
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• 제20권3호
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• pp.65-71
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• 1996

Recently, the Track Control System which was separated from the Course Control System so-called Auto-Pilot has been developed for track-keeping in coastal area. From this year, the NAV Sub-committee in IMO commenced to consider the Performance Standard for the Track Control System vigorously. This system will be integrated with ECDIS and IBS so that captain/officers should analysis ship's motion characteristics accurately in the route planning using the electronic nautical charts. In this paper, a new Route Analysis Algorithm using fuzzy reasoning in route planning was proposed for 2, 700 TEU container ship. In order to verify the track-keeping, the author established a ship mathematical model and executed the simulation of the Route Analysis Algorithm at on-line condition with Pentium PC. The results of ship trajectories of the Route Analysis Algorithm were found to be effective to get track control automatically.

• 자동차안전학회지
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• 제13권4호
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• pp.7-13
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• 2021

This paper presents an vulnerable road user (VRU) classification and tracking algorithm using vision and LiDAR sensor fusion method for urban autonomous driving. The classification and tracking for vulnerable road users such as pedestrian, bicycle, and motorcycle are essential for autonomous driving in complex urban environments. In this paper, a real-time object image detection algorithm called Yolo and object tracking algorithm from LiDAR point cloud are fused in the high level. The proposed algorithm consists of four parts. First, the object bounding boxes on the pixel coordinate, which is obtained from YOLO, are transformed into the local coordinate of subject vehicle using the homography matrix. Second, a LiDAR point cloud is clustered based on Euclidean distance and the clusters are associated using GNN. In addition, the states of clusters including position, heading angle, velocity and acceleration information are estimated using geometric model free approach (GMFA) in real-time. Finally, the each LiDAR track is matched with a vision track using angle information of transformed vision track and assigned a classification id. The proposed fusion algorithm is evaluated via real vehicle test in the urban environment.

• International Journal of Aeronautical and Space Sciences
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• 제7권1호
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• pp.118-128
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• 2006

This paper deals with auto-landing guidance system design applicable to Smart UAV(Unmanned Aerial Vehicle). The proposed guidance law generates horizontal position, velocity and altitude commands in the longitudinal channel and heading angle command in the lateral channel to track a predetermined trajectory for automatic landing. The longitudinal guidance commands are derived from an approximated dynamic equations in vertical plane. These longitudinal guidance commands are appropriately distributed to each control input as the flight mode of Smart UAV is changed. The concept of VOR(VHF Omni-directional Range) guidance system is applied to generate the required heading angle commands to eliminate the lateral deviation from the desired trajectory. The performance of the proposed guidance system for Smart UAV is evaluated using the nonlinear simulation. Simulation results show that the proposed guidance system for auto- landing provides good tracking performance along the predetermined landing trajectory.

• Journal of Advanced Marine Engineering and Technology
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• 제22권6호
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• pp.928-934
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• 1998

This paper describes a fully digitalized driver for BLDC motors which is realized by a single chip microprocessor. The speed change can be done by using the signal obtained from the position detecting sensor and adjusting the pulse width at the input channel of power module. In order to establish a speed control system a repetitive control method is adopted to track a periodic refer-ence change in the BLDC motor system. The experimental results show accurate reference track-ing performance under the given periodic reference in the repetitive controller design.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.110-113
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• 2002

This paper propose a method for the temperature control using cool-plate in the track equipment. The employed control algorithm is PID control algorithm. The control gains are found using relay auto-tuning algorithm. After that the gains are adjusted manually in trial and error. The control hardware circuit is designed and implemented in the lab. The controlled temperature reached the desired value Within $\pm0.05^{\circ}C$ accuracy.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2000년도 추계학술대회 논문집
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• pp.712-719
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• 2000

This paper presents a new algorithm to analyze a train voltages of multi-trains in auto-transformer-fed AC railway systems, using electrical equivalent change. The train current will be divided into circulation and return currents, and these current values are the same. By evaluating each current independently, the result will be more precise. The train current flows through the all auto-transformer corresponding to track impedance. In analyzing the railway system, the algorithm is based on the K.C.L, K.V.L, superposition and circuit separation method. Multi-train's voltages are determined by calculating the catenary voltage at each train's position and adding up these train's voltage drop. Case studies use a field operational data, show that tile proposed method is easily applied.