• 제목/요약/키워드: current estimator

검색결과 174건 처리시간 0.027초

Support Vector Machine $\epsilon$-insensitive Regression방법을 이용한 유도전동기의 회전자 자속추정 성능개선 (Improvement of rotor flux estimation performance of induction motor using Support Vector Machine $\epsilon$-insensitive Regression Method)

  • 한동창;백운재;김성락;박주현;이석규;박정일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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    • pp.43-46
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    • 2003
  • In this paper, a novel rotor flux estimation method of an induction motor using support vector machine(SVM) is presented. Two veil-known different flux models with respect to voltage and current are necessary to estimate the rotor flux of an induction motor. The theory of the SVM algorithm is based on statistical teaming theory. Training of SVH leads to a quadratic programming(QP) problem. The proposed SVM rotor flux estimator guarantees the improvement of performance in the transient and steady state in spite of parameter variation circumstance. The validity and the usefulness of Proposed algorithm are throughly verified through numerical simulation.

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가상 자속관측기를 이용한 3상 AC/DC PFC PWM 컨버터의 직접 전력 센서리스 제어 (Direct Power Sensorless Control of Three-Phase AC/DC PFC PWM Converter using Virtual Flux Observer)

  • 김영삼;권영안
    • 전기학회논문지
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    • 제61권10호
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    • pp.1442-1447
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    • 2012
  • In this paper, direct power control system for three-phase PWM AC/DC converter without the source voltage sensors is proposed. The sinusoidal input current and unity effective power factor are realised based on the estimated flux in the observer. Both active and reactive power calculated using estimated flux. The estimation of flux is performed based on the Reduced-order flux observer using the actual currents and the command control voltage. The source voltage sensors are replaced by a flux estimator. The active and reactive powers estimation are performed based on the estimated flux and Phase anble. The proposed algorithm is verified through simulation and experiment.

Real-Time Monitoring and Analysis of Power Systems with Synchronized Phasor Measurements

  • Kim, Hong-Rae
    • 조명전기설비학회논문지
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    • 제21권9호
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    • pp.101-108
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    • 2007
  • State estimators are used to monitor the operating states of power systems in modern EMS. It iteratively calculates the voltage profile of the currently operating power system with voltage, current, and power measurements gathered from the entire system. All the measurements are usually assumed to be obtained simultaneously. It is practically impossible, however, to maintain the synchronism of the measurement data. Recently, phasor measurements synchronized via satellite are used for the operation of these power systems. This paper describes the modified state estimator used to support the processing of synchronized phasor measurements. Synchronized phasor measurements are found to provide synchronism of measurement data and improve the accuracy/redundancy of the measurement data for state estimation. The details of the developed state estimation program and some numerical results of operation are presented.

전압.전류 합성자속 추정기를 이용한 유도전동기의 전 속도영역 제어 (Voltage and current synthetic flux estimator using all the speed range control of induction motors)

  • 조문택;김은기;김영춘;주해종;이의수;송호빈;김상수
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2011년도 추계학술논문집 2부
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    • pp.551-553
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    • 2011
  • 본 논문에서는 유도전동기의 저속운전영역에서 고속운전영역에 이르기까지 모든 영역에 걸친 안정된 속도제어를 목적으로 전압 전류 모델 합성 자속 추정기를 구현하였다. 제시한 시스템의 유용성을 확인하기 위해 3.7[kW]용량의 농형 유도전동기에 적용하여 시뮬레이션의 편의를 위해 각각의 제어기를 Matlab/Simulink를 통해 모델링하여 검토하였으며, 실험을 통해 확인하였다.

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Adaptive Actor-Critic Learning of Mobile Robots Using Actual and Simulated Experiences

  • Rafiuddin Syam;Keigo Watanabe;Kiyotaka Izumi;Kazuo Kiguchi;Jin, Sang-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.43.6-43
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    • 2001
  • In this paper, we describe an actor-critic method as a kind of temporal difference (TD) algorithms. The value function is regarded as a current estimator, in which two value functions have different inputs: one is an actual experience; the other is a simulated experience obtained through a predictive model. Thus, the parameter´s updating for the actor and critic parts is based on actual and simulated experiences, where the critic is constructed by a radial-basis function neural network (RBFNN) and the actor is composed of a kinematic-based controller. As an example application of the present method, a tracking control problem for the position coordinates and azimuth of a nonholonomic mobile robot is considered. The effectiveness is illustrated by a simulation.

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속도보정 스트랩다운 관성항법장치의 속도계오차 처리기법 : 수중항체의 경우 (Odometer Error Compensation Scheme for Velocity-Aided Strapdown Inertial Navigation System : The Case of Torpedo)

  • 이윤선;정태호;유준
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.401-406
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    • 1992
  • When a velocity-aided strapdown inertial navigation system is loaded into a torpedo subjected to an extraneous force by the current, odometer measurement errors occur seriously. In order to compensate for navigation errors induced by large odometer biases, the Kalman Filter with separate bias estimator is applied, which separately estimates an unknown bias, and corrects the state estimate produced by the bias-free Kalman Filter to reflect the effect of the bias estimate.

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A Class of Estimators for Population Variance in Two Occasion Rotation Patterns

  • Singh, G.N.;Priyanka, Priyanka;Prasad, Shakti;Singh, Sarjinder;Kim, Jong-Min
    • Communications for Statistical Applications and Methods
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    • 제20권4호
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    • pp.247-257
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    • 2013
  • A variety of practical problems can be addressed in the framework of rotation (successive) sampling. The present work presents a sample rotation pattern where sampling units are drawn on two successive occasions. The problem of estimation of population variance on current (second) occasion in two - occasion successive (rotation) sampling has been considered. A class of estimators has been proposed for population variance that includes many estimators as a particular case. Asymptotic properties of the proposed class of estimators are discussed. The proposed class of estimators is compared with the sample variance estimator when there is no matching from the previous occasion. Optimum replacement policy is discussed. Results are supported with the empirical means of comparison.

An Improved Method for Constructing Confidence Interval of Median : Small Sample Case

  • Park, Sang-Gue;Choi, Ji-Yun
    • Journal of the Korean Data and Information Science Society
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    • 제15권4호
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    • pp.973-980
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    • 2004
  • Phase I clinical trials are often pharmacologically oriented and usually attempt to find the best dose of drug to employ. However, other purposes like determination of sizes and types of side effects and toxicity and organ system involved are equally important. Estimation of treatment effects or side effects is usually ignored since it is usually based on too small sample, even though Phase II clinical trials would be designed based on the Phase I studies. Statistical methods for constructing the approximate confidence interval for population median in case of small sample are considered and an improved method is proposed. The proposed estimator is compared with current methods through simulation studies.

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Study on an Adaptive Maximum Torque Per Amp Control Strategy for Induction Motor Drives

  • Kwon, Chun-Ki
    • Journal of Electrical Engineering and Technology
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    • 제8권1호
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    • pp.110-117
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    • 2013
  • Maximum Torque Per Amp (MTPA) control for induction motor drives seeks to achieve a desired torque with the minimum possible stator current. This is favorable in terms of inverter operation and nearly optimal in terms of motor efficiency. However, rotor resistance variation can cause significant performance degradation. This work demonstrates that existing MTPA controls perform sub-optimally as temperature varies. An adaptive MTPA control strategy is proposed that always achieves optimal performance without exhibiting hunting phenomenon regardless of rotor temperature. The proposed control is experimentally shown to accurately achieve the desired torque.

유도전동기 벡터제어를 위한 Support Vector Regression을 이용한 회전자자속 추정기 (Rotor flux Observer Using Robust Support Vector Regression for Field Oriented Induction Mmotor Drives)

  • 한동창;백운재;김성락;김한길;이석규;박정일
    • 한국정밀공학회지
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    • 제22권2호
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    • pp.70-78
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    • 2005
  • In this paper, a novel rotor flux estimation method of an induction motor using support vector regression(SVR) is presented. Two well-known different flux models with respect to voltage and current are necessary to estimate the rotor flux of an induction motor. Training of SVR which the theory of the SVR algorithm leads to a quadratic programming(QP) problem. The proposed SVR rotor flux estimator guarantees the improvement of performance in the transient and steady state in spite of parameter variation circumstance. The validity and the usefulness of proposed algorithm are throughly verified through numerical simulation.