• Title/Summary/Keyword: 표적지향 시스템

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Adaptive Disturbance Compensation Control for Heavy Load Target Aiming Systems to Improve Stabilization Performances (대부하 표적 지향시스템의 안정화 성능향상을 위한 외란보상 적응제어)

  • Lim, Jae-Keun;Choi, Young-Jun;Lyou, Joon;Seok, Ho-Dong;Kim, Byung-Un;Kang, Min-Sig
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.15 no.11 s.104
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    • pp.1303-1310
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    • 2005
  • Stabilization error of target aiming systems mounted on moving vehicles is an important performance because the error directly affects hit Probability. In a heavy load targetaiming system, the disturbance torque comes from mass unbalance and linear acceleration is a main source of stabilization error. This study suggests an experimental design method of disturbance feedforward compensation control to improve the stabilization performance of heavy load target aiming systems. The filtered_x least square(FxLMS) algorithm is used to estimate the compensator coefficients adaptively. The proposed control is applied to a simple experimental set-up which simulates dynamic characteristics of a real target aiming system. The feasibility of the proposedtechnique is illustrated, along with results of experiments.

A Study on Precision Control of a Heavy Load Pointing System (대부하 표적지향 시스템의 정밀 제어 기법 연구)

  • Kim Byung-Un;Kang E-Sok
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.9
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    • pp.840-846
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    • 2004
  • In this study, the performance of a heavy load pointing system has been investigated. The PI controller are being widely used in industrial application because of simple, cheap, and excellent performance. However, the requirement for control precision becomes higher and higher, as well as the plants becomes more and more complex. In order to achieve the satisfied control performance, we have to consider the affection of nonlinear factor contained in plant. In this paper, the neural-PI control law have been evaluated. The proposed controller is compared with the existing controllers through simulations, and the results show that the pointing accuracy of the proposed control system is improved against the disturbance induced by vehicle running on the bump course.

A Study of Stabilization Loop Design for a Two Axis Gimbal System Using Resolver (리졸버를 이용한 2축 김발 시스템의 공간 안정화 루프 설계에 대한 연구)

  • Kang, Ho-Gyun;Seong, Ki-Jun;Kim, Sung-Un;Yeou, Bo-Yeoun
    • Proceedings of the KIEE Conference
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    • 2007.10a
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    • pp.303-304
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    • 2007
  • 항공기, 차량, 유도탄 둥과 같은 동적인 플랫폼에서 표적을 추적하기 위해서 시선을 안정화하는 외부의 추적 루프와 내부의 안정화 루프(또는 속도 루프)가 있고, 또한 표적을 추적하기 전 표적을 지향하고 포착하기 위해 김발을 동체에 대해 일정한 각도로 유지하기 위한 위치 루프도가지고 있다. 일반적으로 안정화 루프는 각속도를 측정하기 위한 검출기로 자이로를 사용하고, 위치 루프는 김발각을 제어하기 위한 위치 검출기를 사용한다. 그러나 안정화 루프에 사용되는 자이로는 루프 성능을 최적으로 하기 위해서 고성능/고가의 자이로가 사용되는 단점이 있다. 따라서 본 논문에서는 위치 루프에 사용되는 위치 센서인 리졸버를 사용하여 고성능/고가의 자이로 센서 없이 안정화 루프를 설계하였고, 리졸버를 사용하여 설계된 안정화 루프가 동적인 플랫폼에 사용될 수 있는지 시뮬레이션 결과와 실험 결과를 통해 분석하였다.

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워게임 모형의 C41 기능통합 및 연동화 시뮬레이션 기법

  • 문형곤;박찬우
    • Proceedings of the Korea Society for Simulation Conference
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    • 2000.04a
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    • pp.153-153
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    • 2000
  • 최근 선진국들은 신규 워게임모형 개발시 장차전 개념을 반영하기 위하여 미래전자의 주요기능인 C4ISR 및 객체지향 기법을 적용하려고 노력하고 있다. 이러한 워게임 모형들은 현실과 같은 가상환경에서 합동작전을 모의할 수 있으며 전략, 작전 및 전술 수준을 모두 고려할 수 있고 지상전, 공중전, 해상전, 미사일전, 정보전 등 현대 전투개념을 모두 반영할 수 있도록 초대형 시뮬레이션 시스템으로 발전되고 있다. 본 고에서는 C4I 기능통합 및 연동화 모의 논리중에서 전략기동, 전술기동, 교전평가, 전략수송, 표적탐색, 미사일 판정을 위한 모의 기법과 초대형 시뮬레이션 시스템의 자료/명령 전달 구조 및 하드웨어/소프트웨어 사양, 구성 모듈등을 분석한다. 특히 현재 미 합참에서 개발중인 JWARS모형의 주요 객체들인 전투공간개체(BSE: Battle Space Entity), 아크-노드 네트워크, 화력 집중점(FCPs: Fire Concentration Points) 등을 살펴보고 현대전의 가장 큰 특징인 C4ISR/(Command, Control, Communication, Computer, Intelligence, Surveillance, Reconnaissance) 분야에서 표적탐지, 통신, 정보 모의 기법을 분석함으로써, 향후 한국적 여건에 적합한 분석모형 개발 방향을 제시하고자 한다.

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A broadband detection algorithm using cross-correlation of two split beams for cylindrical array sonar (원통형 배열 소나를 위한 두 개의 분리 빔의 상호상관을 이용한 광대역탐지 기법)

  • Kwak, ChulHyun
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.5
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    • pp.300-304
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    • 2017
  • In a cylindrical sonar, a conventional broadband energy detector has limitations in the separation of adjacent targets. In this paper, a broadband detection algorithm using cross-correlation is applied to the cylindrical sonar to improve the bearing resolution. The proposed algorithm uses split beamforming before broadband detection processing using cross-correlation to generate half beams. The time delay obtained from the peak of correlation between half beams is used to estimate the bearing of target. Simulations demonstrate the improved performance of the proposed algorithm against the conventional algorithm.

Preliminary Analysis on Characteristics of Attitude Control based on Operation Scenario of Small SAR Satellite Mission, S-STEP (초소형 SAR 위성 S-STEP의 임무 시나리오에 따른 자세 제어 성능 예비 분석)

  • Lee, Eunji;Park, Jinhan;Song, Sung-Chan;Oh, Hyun-Ung
    • Journal of Aerospace System Engineering
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    • v.16 no.5
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    • pp.49-56
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    • 2022
  • S-STEP is a small SAR satellite mission that monitors time-limited emergency targets and military anomalies in areas of interest, achieving the average revisit in less than 30 minutes by deploying a constellation of 32 satellites in low orbit at an altitude of 510 km. The mission operation mode of S-STEP is divided into normal mode, observation mode, communication mode, and orbit maintenance mode. Further,, the attitude control mode is subdivides into initial detumbling, sun pointing, target pointing, ground station pointing, and thrust direction maintenance. Based on the preliminary mission operational scenario and the satellite's characteristics, this study analyzed the attitude control performance during initial detumbling and observation modes. It verifies that each mode's attitude control accuracy requirements within the time allotted by the scenario of the S-STEP achieved.

Analysis of SAR Image Quality Degradation due to Pointing and Stability Error of Synthetic Aperture Radar Satellite (위성체 지향 및 안정화 오차로 인한 영상레이더 위성 영상 품질 저하 해석)

  • Chun, Yong-Sik;Ra, Sung-Woong
    • Journal of Astronomy and Space Sciences
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    • v.25 no.4
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    • pp.445-458
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    • 2008
  • Image chain analysis of synthetic aperture radar (SAR) satellite is one of the primary activities for satellite design because SAR image quality depends on spacecraft bus performance as well as SAR payload. Especially, satellite pointing and stability error make worst effect on the original SAR image quality which is implemented by SAR payload design. In this research, Image chain analysis S/W was developed in order to analyze the SAR image quality degradation due to satellite pointing and stability error. This S/W consists of orbit model, attitude control model, SAR payload model, clutter model, and SAR processor. SAR raw data, which includes total 25 point targets in the scene of $5km{\times}5km$ swath width, was generated and then processed for analysis. High resolution mode (spotlight), of which resolution is 1m, was applied. The results of image chain analysis show that radiometric accuracy is the most degraded due to the pointing error. Therefore, the successful design of attitude control subsystem in spacecraft bus for enhancing the pointing accuracy is most important for image quality.

Prediction of Target Motion Using Neural Network for 4-dimensional Radiation Therapy (신경회로망을 이용한 4차원 방사선치료에서의 조사 표적 움직임 예측)

  • Lee, Sang-Kyung;Kim, Yong-Nam;Park, Kyung-Ran;Jeong, Kyeong-Keun;Lee, Chang-Geol;Lee, Ik-Jae;Seong, Jin-Sil;Choi, Won-Hoon;Chung, Yoon-Sun;Park, Sung-Ho
    • Progress in Medical Physics
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    • v.20 no.3
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    • pp.132-138
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    • 2009
  • Studies on target motion in 4-dimensional radiotherapy are being world-widely conducted to enhance treatment record and protection of normal organs. Prediction of tumor motion might be very useful and/or essential for especially free-breathing system during radiation delivery such as respiratory gating system and tumor tracking system. Neural network is powerful to express a time series with nonlinearity because its prediction algorithm is not governed by statistic formula but finds a rule of data expression. This study intended to assess applicability of neural network method to predict tumor motion in 4-dimensional radiotherapy. Scaled Conjugate Gradient algorithm was employed as a learning algorithm. Considering reparation data for 10 patients, prediction by the neural network algorithms was compared with the measurement by the real-time position management (RPM) system. The results showed that the neural network algorithm has the excellent accuracy of maximum absolute error smaller than 3 mm, except for the cases in which the maximum amplitude of respiration is over the range of respiration used in the learning process of neural network. It indicates the insufficient learning of the neural network for extrapolation. The problem could be solved by acquiring a full range of respiration before learning procedure. Further works are programmed to verify a feasibility of practical application for 4-dimensional treatment system, including prediction performance according to various system latency and irregular patterns of respiration.

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Improvement of Service Encounter in Duty free shop using Service Blueprinting (서비스 청사진을 이용한 면세점에서의 서비스접점 개선 연구)

  • Choi, Eun A;Lee, Sang Shik;Lee, DonHee
    • Journal of Korea Society of Industrial Information Systems
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    • v.21 no.4
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    • pp.95-110
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    • 2016
  • The purpose of this study is to design a service encounter of a duty free shop using a blueprinting method. This case study analyzed differences between city-based and airport-based duty free shop and proposed a flow chart based on administration blueprinting of the duty free shop in South Korea. The paper presented process criteria based on administrative procedures of customers in city-based and airport-based duty free shop. The results of the study provided the cause of failure with waiting point of customer and customer service and suggested management plan to solve failure. Also, the study addressed more customer-oriented service delivery processes to improve service quality and customer satisfaction through waiting and failure points.