• 제목/요약/키워드: Reduced Order Extended Luenberger Observer (ROELO)

검색결과 6건 처리시간 0.017초

새로운 축소 차원 확장 루엔버거 관측기를 이용한 유도 전동기의 센서리스 벡터제어 (Sensorless Vector Control of Induction Motors Using a New Reduced-Order Extended Luenberger Observer)

  • 이교범;송주호;송중호;최익
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제53권3호
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    • pp.173-179
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    • 2004
  • A synthesis method of the reduced-order extended Luenberger observer (ROELO) and its design procedure for a nonlinear dynamic system are presented. This paper proposes a method to reduce the order of the observer and to ! elect the observer gain matrix. The proposed algorithm is applied for high performance induction motor drives without a speed sensor The simulation and experiment results show that the proposed ROELO provides both rotor flux and rotor speed estimation with good performance.

비선형모델을 이용한 matrix convertor로 구동되는 축소차원 확장 루엔버거 관측기기반의 유도전동기 센서리스 벡터제어의 성능개선 (Performance Improvement of Reduced Order Extended Luenberger Observer(ROELO) based Sensorless Vector Control Fed by Matrix Converter With Non-linearity Modeling)

  • 이교범
    • 전력전자학회논문지
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    • 제10권4호
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    • pp.363-372
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    • 2005
  • 본 논문에서는 비선형 모델링 기법을 이용하여 matrix convertor로 구동되는 유도전동기 구동장치의 성능개선을 위한 새로운 센서리스 기법을 제안한다. 각 스위치에서 발생하는 전환지연과 스위치 소자의 전압강하등과 같은 matrix converter의 비선형 특성을 모델링하여 보상함으로써 저속영역에서의 속도제어성능을 향상시킨다. 전속도 영역에서의 속도 센서리스 제어성능을 향상시키기 위해 축소차원 확장 루엔버거 관측기를 적용하고, 제안한 관측기 이득의 설정방법을 제안한다. 실험을 통해 제안한 제어 알고리즘의 타당성을 검증한다

확장 루엔버거 관측기를 이용한 전동기의 저속 성능 향상 (Improvement of Low Speed Operation of Electric Machine Using ROELO for Inertia Identification)

  • 이교범;송중호;최익;유지윤
    • 전력전자학회논문지
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    • 제9권3호
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    • pp.231-239
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    • 2004
  • A new scheme to estimate the moment of inertia in the motor drive system in very low speed is proposed in this paper. The simple estimation scheme, which is usually used in most servo system for low speed operation, is sensitive to the variation of the machine parameter, especially the moment of inertia. To estimate the motor inertia value, Reduced-Order Extended Luenberger Observer (ROELO) is applied. The effectiveness of the proposed inertia identification method using the RORLO is verified by simulation and experiment.

확장 루엔버거 관측기를 이용한 저속영역에서의 전동기 관성 추정 (Inertia Identification of Electric Machine Using Extended Luenberger Observer at Low Speed Region)

  • 이교범;강호진;송중호;최익;유지윤
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2002년도 전력전자학술대회 논문집
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    • pp.142-145
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    • 2002
  • A new scheme to estimate machine inertia in low speed is proposed in this paper. It is necessary to consider the machine parameter of low speed instantaneous observer to precise control in servo system, which has frequent load variation and speed change. To estimate machine parameter, especially the moment of inertia, Reduced-Order Extended Luenberger Observer (ROELO) is applied. The effectiveness of the proposed ROELO is showed by simulation.

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축소 차원 확장 루엔버거 관성 추정기를 이용한 전동기 저속운전의 성능 개선 (An Improvement of Low Speed Operation of Electric Machine with Inertia Identification Using ROELO)

  • 이교범;윤영철;송중호;최익;유범재;유지윤
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 B
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    • pp.1090-1092
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    • 2003
  • A new scheme to estimate the moment of inertia in the motor drive system in very low speed is proposed in this paper. The simple speed estimation scheme, which is usually used in most servo system for low speed operation, is sensitive to the variation of the machine parameter, especially the moment of inertia. To estimate the motor inertia value, Reduced-Order Extended Luenberger Observer (ROELO) Is applied. The effectiveness of the proposed ROELO is applied by experiments.

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매트릭스 컨버터를 이용한 유도전동기 구동장치의 기준모델 적응제어기법 기반의 강인한 센서리스 제어 (Robust Sensorless Control for Induction Motor Drives Fed by a Matrix Converter with Model Reference Adaptive Control)

  • 심경훈;허성회;이교범
    • 전기학회논문지
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    • 제57권4호
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    • pp.610-616
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    • 2008
  • This paper presents a new robust sensorless control system for high performance induction motor drives fed by a matrix converter with variable structure. The lumped disturbances such as parameter variation and load disturbance of the system are estimated by a variable structure approach based on model reference adaptive scheme. A Reduced Order Extended Luenberger Observer(ROELO) is also employed to bring better responses at the low speed operation. Experimental results are shown to illustrate the performance of the proposed system.