• 제목/요약/키워드: SON Algorithm

검색결과 829건 처리시간 0.032초

저주파 진동 해석을 위한 UPFC의 동적 시뮬레이션 알고리즘에 관한 연구 (A Study on the UPFC Dynamic Simulation Algorithm for Low Frequency Oscillation Studies)

  • 손광명
    • 대한전기학회논문지:전력기술부문A
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    • 제49권10호
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    • pp.502-508
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    • 2000
  • This paper presents a dynamic simulation algorithm for studying the effect of United Power Flow Controller(UPFC) on the low frequency power system oscillations and transient stability studies. The proposed algorithm is a Newton-type one and uses current injection type UPFC model, which gives a fast convergence characteristics. The algorithm is applied to studying inter-area power oscillation damping enhancement of a sample two-area power system both in time domain and frequency domain. The case study results show that the proposed algorithm is very efficient and UPFC is very effective and robust against operating point change.

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확장형 에지 선소를 이용한 스테레오 정합 (Stereo Matching using the Extended Edge Segments)

  • 손홍락;김형석
    • 대한전기학회논문지:시스템및제어부문D
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    • 제51권8호
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    • pp.335-343
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    • 2002
  • A segment matching algorithm in stereo vision via the fusion of multiple features on long edge segments is proposed. One problem of the previous segment matching algorithm is the similarity among the segments caused from its short length. In the proposed algorithm, edges are composed of longer segments which are obtained by breaking the edges only at the locations with distinguished changes of the shape. Such long segments can contain extra features such as curvature ratio and length of segments which could not be included in shorter ones. Use of such additional features enhances the matching accuracy significantly To fuse multiple features for matching, weighting value determination algorithm which is computed according to the degree of the contribution of each factor is proposed. The stereo matching simulations with the proposed algorithm are done about various images and their results are included.

센서리스 BLDC 모터의 벡터제어 알고리즘의 H/W 설계를 통한 세탁기 구동시스템의 응용 (Application of washing machine Operating System with Vector Control Algorithm of Sensorless BLDC motor by H/W)

  • 복강규;이진휘;장봉안;마쯔모토;손창민
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.579-583
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    • 2005
  • This paper is study for design SOC composing space vector control algorithm of sensorless BLDC motor by H/W and apply this to operating machanism of washing machine system. it is study that increases control efficiency than S/W control algorithm and enhances response for change of system and authoritativeness of controller. Designed so that can compose controller of most suitable in dynamic characteristic of system by design Parameters of each controller to independent block for SOC design connecting to 8051 cores. For control Sensorless BLDC motor to drive system of washing machine, applied to H/W SVPWM control, so improved authoritativeness of control algorithm and control effectiveness than S/W control algorithm

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위상배열 레이다를 위한 적응 추적 알고리즘의 설계 (Design of an adaptive tracking algorithm for a phased array radar)

  • 손건;홍순목
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.541-547
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    • 1992
  • The phased array antenna has the ability to perform adaptive sampling by directing the radar beam without inertia in any direction. The adaptive sampling capability of the phased array antenna allows each sampling time interval to be varied for each target, depending on the acceleration of each target at any time. In this paper we design a three-dimensional adaptive tracking algorithm for the phased array radar system with a given set of measurement parameters. The tracking algorithm avoids taking unnecessarily frequent samples, while keeping the angular prediction error within a fraction of antenna beamwidth so that the probability of detection will not be degraded during a track update illuminations. In our algorithm, the target model and the sampling rate are selected depending on the target range and the target maneuver status which is determined by a maneuver detector. A detailed simulation is conducted to test the validity of our tracking algorithm for encounter geometries under various conditions of maneuver.

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다중 GPS를 이용한 무인자동차의 주행 알고리즘 개발 (The Development of Driving Algorithm for an Unmanned Vehicle with Multiple-GPS's)

  • 문희창;손영진;김정하
    • 제어로봇시스템학회논문지
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    • 제14권1호
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    • pp.27-35
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    • 2008
  • A navigation system is one of the important components of an unmanned ground vehicle (UGV). A GPS receiver collects data signals transmitted by (Earth orbiting) satellites. However, these data signals may contain many errors resulting misinformation and depending on one's position (environment), reception may be impossible. The proposed self-driven algorithm uses three low-cost GPS in order to minimize errors of existing inexpensive single GPS's driving algorithm. By using reliable final data, which is analyzed and combined from each of three GPS's received data signals, gathering a vehicle's steering performance information and its current pin-point position is improved even with error containing signals or from a place where signal gathering is impossible. The purpose of this thesis is to explain navigation system algorithm using multiple GPS and compass sensor and prove the algorithm through experiments.

컴플리트 링키지 알고리즘을 이용한 교육시설물 BTL사업 유지관리번들 구성방안에 관한 연구 (A Study on Maintenance Bundle Alternatives of BTL Project for Educational Facilities Using Complete Linkage Algorithm)

  • 조창연;손재호
    • 교육시설
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    • 제15권3호
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    • pp.4-16
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    • 2008
  • BTL(Build-Transfer-Lease) Project for Education Facilities is contracted as a package which consists of several education facilities and its maintenance period is 20 years. Thus, total cost variation largely depends on the accuracy of the maintenance cost forecasting in the early stage in the life cycle of the BTL Projects. This research develops a method using complete linkage algorithm and branch & bound algorithm to help in finding optimal bundling combination. The result of this research suggests more reasonable and effective forecasting method for the maintenance bundle in BTL projects.

속도증분벡터를 활용한 ORB-SLAM 및 관성항법 결합 알고리즘 연구 (Integrated Navigation Algorithm using Velocity Incremental Vector Approach with ORB-SLAM and Inertial Measurement)

  • 김연조;손현진;이영재;성상경
    • 전기학회논문지
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    • 제68권1호
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    • pp.189-198
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    • 2019
  • In recent years, visual-inertial odometry(VIO) algorithms have been extensively studied for the indoor/urban environments because it is more robust to dynamic scenes and environment changes. In this paper, we propose loosely coupled(LC) VIO algorithm that utilizes the velocity vectors from both visual odometry(VO) and inertial measurement unit(IMU) as a filter measurement of Extended Kalman filter. Our approach improves the estimation performance of a filter without adding extra sensors while maintaining simple integration framework, which treats VO as a black box. For the VO algorithm, we employed a fundamental part of the ORB-SLAM, which uses ORB features. We performed an outdoor experiment using an RGB-D camera to evaluate the accuracy of the presented algorithm. Also, we evaluated our algorithm with the public dataset to compare with other visual navigation systems.

서보전동기 구동시스템의 자기동조 비례적분 속도제어기 설계 (Design of a self-tunig PI speed controller for servo systems)

  • 문경주;정유석;손영익
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.128-130
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    • 2008
  • This paper presents an algorithm to design a self-tuning proportional-integral(PI) speed controller for servo systems. The control gains are calculated with estimated system parameters, i.e. inertia and viscous damping which are estimated by initial operation. The simulation and experimental results show the feasibility and performance of the proposed algorithm.

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Comparison of Nonparametric Maximum Likelihood and Bayes Estimators of the Survival Function Based on Current Status Data

  • Kim, Hee-Jeong;Kim, Yong-Dai;Son, Young-Sook
    • Communications for Statistical Applications and Methods
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    • 제14권1호
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    • pp.111-119
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    • 2007
  • In this paper, we develop a nonparametric Bayesian methodology of estimating an unknown distribution function F at the given survival time with current status data under the assumption of Dirichlet process prior on F. We compare our algorithm with the nonparametric maximum likelihood estimator through application to simulated data and real data.

A Modified Computing Algorithm for Raking Ratio Estimation Subject to Partial Marginal Information

  • Son, Chang Kyoon
    • Communications for Statistical Applications and Methods
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    • 제11권2호
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    • pp.419-433
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    • 2004
  • We suggest the modified computing algorithm for raking ratio estimation under the assumption that the population total is partially known, and the sample total is completely known about survey variable in contingency table. We show that the proposed estimation procedure is useful to estimate the population cell count in this situation through an empirical study.