• 제목/요약/키워드: Series hybrid

검색결과 490건 처리시간 0.027초

Compensation of Source Voltage Unbalance and Current Harmonics in Series Active and Shunt Passive Power Filters

  • Lee G-Myoung;Lee Dong-Choon
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2001년도 Proceedings ICPE 01 2001 International Conference on Power Electronics
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    • pp.586-590
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    • 2001
  • In this paper, a novel control scheme compensating source voltage unbalance and harmonic currents for hybrid active power filters is proposed, where no low/high-pass filters are used in compensation voltage composition. The phase angle and compensation voltages for source harmonic current and unbalanced voltage components are derived from the positive sequence component of the unbalanced voltage set, which is simply obtained by using digital all-pass filters. Since a balanced set of the source voltage obtained by scaling the positive sequence components is used as reference values for source current and load voltage, it is possible to eliminate the necessity of low/high-pass filters in the reference generation. Therefore the control algorithm is much simpler and gives more stable performance than the conventional method. In addition, the source harmonic current is eliminated by compensating for the harmonic voltage of the load side added to feedback control of the fundamental component.

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Fuzzy 제어기를 이용한 외란부가 Servo System 제어 (Control of Disturbance Added Servo System Using Fuzzy Controller)

  • 김태우;이오걸;정형환;이준탁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1991년도 하계학술대회 논문집
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    • pp.699-702
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    • 1991
  • A servo system requires faster and more accurate dynamic responses. Generally a PD control is mainly used to obtain the precision, and in the other hand a fuzzy control to improve the transient response and to cope with the nonlinearity of systems. Recently hybrid control, which is attempted to combine the advantages of PD control and a Fuzzy control was proposed, but this technique requires complicate design procedures. Therefore in this paper, a Fuzzy controller with a series of membership functions, and various sampling periods and rules, was designed on the basis of Lyapunov stability theory and auto tuning methods of input scale factors. And also it was showed to have the excellent adaptive performances against internal-external disturbances and the usefulness of this controller from the results of simulations.

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신뢰도 최적화 문제에 대한 웹기반의 Solver 개발 (A Web-based Solver for solving the Reliability Optimization Problems)

  • 김재환
    • 해양환경안전학회지
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    • 제8권1호
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    • pp.127-137
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    • 2002
  • This paper deals with developing a Web-based Solver NRO(Network Reliability Optimizer) for solving three classes of reliability redundancy optimization problems which are generated in series systems. parallel systems and complex systems. Inputs of NRO consisted in four parts. that is, user authentication. system selection. input data and confirmation. After processing of inputs through internet, NRO provides conveniently the optimal solutions for the given problems on the Web-site. To alleviate the risks of being trapped in a local optimum, HH(Hybrid-Heuristic) algorithm is incorporated in NRO for solving the given three classes of problems, and moderately combined GA(Genetic Algorithm) with the modified SA(Simulated Annealing) algorithm.

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직렬형 하이브리드 전기 자동차의 최적 연비 제어 및 전력제어 (Power Flow Control and Optimal Fuel Efficiency Control for a Series Hybrid Electric Vehicle)

  • 유현재;설승기;김상민;박용호
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2007년도 추계학술대회 논문집
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    • pp.75-77
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    • 2007
  • 본 논문에서는 엔진, 발전기, 견인 전동기, 배터리, 전력 변환기로 구성된 직렬형 하이브리드 전기 자동차의 최적 효율 운전 및 통합 전력제어에 관해 논의한다. 제안된 시스템의 엔진은 최적 효율 운전을 위해 부하에 따라 가변속(Variable Speed) 운전되며, 속도를 가변하여도 필요한 전력을 순시적으로 제어할 수 있다. 또한 자동차가 요구하는 다양하고 순시적인 전력의 변동에 대응할 뿐만 아니라 엔진의 연료 효율 및 배터리의 수명을 고려하여 엔진과 배터리의 전력을 적절히 분배하여 공급할 수 있는 통합 전력제어 방법에 관해서도 논의한다. 제안된 통합 전력제어 알고리즘의 유용성은 컴퓨터 시뮬레이션을 통해 검증하였다.

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공명기 배열을 이용한 중속 디젤엔진 배기 소음기의 저주파수 대역 성능 개선 연구 (A Study on the Performance Improvement of Medium Speed Diesel Engine Exhaust Silencer in the Low-frequency Range Using Array Resonators)

  • 김영현;주원호;배종국
    • 한국소음진동공학회논문집
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    • 제19권7호
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    • pp.693-698
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    • 2009
  • Various acoustic tests were carried out to investigate the acoustic performance of diesel engine exhaust silencers. In order to consider flow effects, the test facility was set up composed of fan, duct and silencer. Using the test facility, insertion loss tests were carried out to improve the acoustic performance in the low-frequency ranges. Through a series of tests, it was found out that the array resonators having multi-perforated holes inside the exhaust silencer, might be very effective in the low frequency range. Consequently, the hybrid-type silencer which is the combination of reflective silencer with array resonators and conventional absorptive silencer, was proposed and its high performance in the low-frequency range was also verified.

공명기 배열을 이용한 디젤엔진 소음기의 저주파수 대역 성능 개선 연구 (A Study on the Improvement of Acoustic Performance of Diesel Engine Exhaust Silencer in the Low-Frequency Range using Array Resonators)

  • 이태경;김영현;주원호;배종국
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 춘계학술대회논문집
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    • pp.30-35
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    • 2007
  • Various acoustic tests were carried out to investigate the acoustic performance of diesel engine exhaust silencers. In order to consider flow effects, test equipment composed of fan, duct and silencer was set up. Using the test equipment, insertion loss tests were carried out to improve the performance in the low-frequency ranges. Through a series of tests, the fact that array resonators may be effective in the low-frequency noise has been verified. Consequently, the hybrid-type silencer which is the combination of reflective silencer with array resonators and conventional absorptive silencer were proposed and its high acoustic performance in the low-frequency range has also been verified.

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유전 알고리듬 기반 제품구매예측 모형의 개발 (A GA-based Classification Model for Predicting Consumer Choice)

  • 민재형;정철우
    • 한국경영과학회지
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    • 제34권3호
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    • pp.29-41
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    • 2009
  • The purpose of this paper is to develop a new classification method for predicting consumer choice based on genetic algorithm, and to validate Its prediction power over existing methods. To serve this purpose, we propose a hybrid model, and discuss Its methodological characteristics in comparison with other existing classification methods. Also, we conduct a series of experiments employing survey data of consumer choices of MP3 players to assess the prediction power of the model. The results show that the suggested model in this paper is statistically superior to the existing methods such as logistic regression model, artificial neural network model and decision tree model in terms of prediction accuracy. The model is also shown to have an advantage of providing several strategic information of practical use for consumer choice.

유전 알고리듬 기반 제품구매예측 모형의 개발 (A GA-based Classification Model for Predicting Consumer Choice)

  • 민재형;정철우
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2008년도 추계학술대회 및 정기총회
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    • pp.1-7
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    • 2008
  • The purpose of this paper is to develop a new classification method for predicting consumer choice based on genetic algorithm, and to validate its prediction power over existing methods. To serve this purpose, we propose a hybrid model, and discuss its methodological characteristics in comparison with other existing classification methods. Also, to assess the prediction power of the model, we conduct a series of experiments employing survey data of consumer choices of MP3 players. The results show that the suggested model in this paper is statistically superior to the existing methods such as logistic regression model, artificial neural network model and decision tree model in terms of prediction accuracy. The model is also shown to have an advantage of providing several strategic information of practical use for consumer choice.

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Individual Charge Equalization Converter with Parallel Primary Winding of Transformer for Series Connected Lithium-Ion Battery Strings in an HEV

  • Kim, Chol-Ho;Park, Hong-Sun;Kim, Chong-Eun;Moon, Gun-Woo;Lee, Joong-Hui
    • Journal of Power Electronics
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    • 제9권3호
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    • pp.472-480
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    • 2009
  • In this paper, a charge equalization converter with parallel-connected primary windings of transformers is proposed. The proposed work effectively balances the voltage among Lithium-Ion battery cells despite each battery cell has low voltage gap compared with its state of charge (SOC). The principle of the proposed work is that the equalizing energy from all battery strings moves to the lowest voltage battery through the isolated dc/dc converter controlled by the corresponding solid state relay switch. For this research a prototype of four Lithium-Ion battery cells is optimally designed and implemented, and experimental results show that the proposed method has excellent cell balancing performance.

다층 퍼지뉴럴 네트워크의 설계 (Design of Multi-layer Fuzzy Neural Networks)

  • Park, Byoung-Jun;Park, Keon-Jun;Oh, Sung-Kwun
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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    • pp.307-310
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    • 2004
  • In this study, a new architecture and comprehensive design methodology of genetically optimized Multi-layer Fuzzy Neural Networks (gMFNN) are introduced and a series of numeric experiments are carried out. The gMFNN architecture results from a synergistic usage of the hybrid system generated by combining Fuzzy Neural Networks (FNN) with Polynomial Neural Networks (PNN), FNN contributes to the formation of the premise part of the overall network structure of the gMFNN. The consequence part of the gMFNN is designed using PNN.

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