• 제목/요약/키워드: Speed Estimator

검색결과 262건 처리시간 0.025초

POWER CONTROL OF A DOUBLY FED INDUCTION MACHINE FOR WIND ENERGY GENERATION WITHOUT ROTATIONAL TRANDUCERS

  • Kim, Eel-Hwan;Lee, Sang-Suk;Kuk, Yun-Sang;Kim, Yoon-Ho
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 1998년도 Proceedings ICPE 98 1998 International Conference on Power Electronics
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    • pp.40-44
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    • 1998
  • This paper describes variable speed drive and power control of a doubly fed induction machine(DFIM) for wind energy generation without rotational transducers. A stator flux orientation scheme and rotor speed estimator are employed to achieve decouple control of active and reactive power. To verify the theoretical analysis, a 5-hp DFIM prototype system and PWM power converter are built. Results of computer simulation are presented to support the discussion.

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선형 시스토릭 어레이를 이용한 완전탐색 블럭정합 이동 예측기의 구조 (A linear systolic array based architecture for full-search block matching motion estimator)

  • 김기현;이기철
    • 한국통신학회논문지
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    • 제21권2호
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    • pp.313-325
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    • 1996
  • This paper presents a new architecture for full-search block-matching motion estimation. The architecture is based on linear systolic arrays. High speed operation is obtained by feeding reference data, search data, and control signals into the linear systolic array in a pipelined fashion. Input data are fed into the linear systolic array at a half of the processor speed, reducing the required data bandwidth to half. The proposed architecture has a good scalability with respect to the number of processors and input bandwidth when the size of reference block and search range change.

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전동기 고성능 속도제어를 위한 관성추정 알고리즘 (Inertia Identification Algorithm for High Performance Speed Control of Electric Motor)

  • 이규범;최종우;김흥근
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2004년도 추계학술대회 논문집
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    • pp.18-20
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    • 2004
  • In this paper, a new technique of inertia identification using recursive least square algorithm and full order estimator is proposed. The speed response is sensitive to variation in machine parameters especially the moment of inertia. The effectiveness of the method has been verified by simulations.

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다양한 블록 크기의 전역 탐색 알고리즘을 위한 효율적인 구조를 갖는 움직임 추정기 설계 (The Motion Estimator Implementation with Efficient Structure for Full Search Algorithm of Variable Block Size)

  • 황종희;최윤식
    • 대한전자공학회논문지SD
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    • 제46권11호
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    • pp.66-76
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    • 2009
  • 움직임 추정은 영상 부호화 시스템에서 큰 비중을 차지하는 부분으로, 실시간 동작을 위해서는 효율적인 구조를 필요로 한다. 따라서 H.264 전체 시스템을 위한 움직임 추정기 블록의 구현은 부호화 과정을 고속으로 수행할 수 있도록 별도의 전용 하드웨어 모듈로 설계하는 것이 바람직하다. 본 논문에서는 많은 연산량을 효율적으로 줄일 수 있도록 병렬 처리를 바탕으로 움직임 추정 감지 블록, 41개의 SAD(Sum of Absolute Difference)값 계산 블록, 최소의 SAD값 계산과 움직임 벡터 생성 블록을 제안하고자 한다. 움직임 추정 감지 블록과 최소의 SAD값 계산기에서는 선계산(pre-computation) 방법을 적용함으로써, 입력 Switching Activity를 줄여 고속 구현이 가능하도록 하였으며, 움직임 추정 감지 블록과 41개의 SAD값 계산 블록에서 가장 많은 부분을 차지하는 가산기 구조를 일반적으로 사용되는 Ripple Carry Adder 대신에 Carry Skip Adder를 적용함으로써, Adder Tree 구조를 고속으로 처리할 수 있도록 하였다. 또한 외부에서 탐색 영역 제어와 같은 주요 변수를 쉽게 제어할 수 있도록 하여, 하드웨어 구조의 효율성을 높였다. 시뮬레이션 및 FPGA 검증 결과, 움직임 추정기의 임계 경로를 발생시키는 MED블록에서 일반적인 구조를 적용했을 때보다 19.89%의 Delay 감소 효과를 얻을 수 있었다.

신경회로망 알고리즘을 이용한 유도전동기 속도제어어 관한 연구 (Study on Induction Motor Speed Control using Neural Network algorithm)

  • 이훈구;오봉환;이승환;전기영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술대회 논문집 전문대학교육위원
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    • pp.49-51
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    • 2003
  • This paper presents a speed control system of induction motor using neural network. The speed control of induction motor was designed to NNC(Neural Network Controller) and NNE(Neural Network Estimator) used backpropagation, the NNE was constituted to be get an error value of output of an induction motor and conspire an input/output. NNC is controled to be made the error of reference speed and actual speed decrease, and in order to determine the weighting of NNC can be back propagated through the NNE, and it is adapted to the outside circumstances and system characters with learning ability.

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SVM Regression을 이용한 PMSM의 속도 추정 (Speed Estimation of PMSM Using Support Vector Regression)

  • 한동창;백운재;김성락;김한길;심준홍;박광원;이석규;박정일
    • 제어로봇시스템학회논문지
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    • 제11권7호
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    • pp.565-571
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    • 2005
  • We present a novel speed estimation of a Permanent Magnet Synchronous Motor(PMSM) based on Support Vector Regression(SVR). The proposed method can estimate wide speed range, including 0.33Hz with full load, accurately in the steady and transient states where motor parameters variations are known without parameter estimator. Moreover, the method does not need offline training previously but is trained on-line. The training starts with the PMSM operation simultaneously and estimates the speed in real time. The experimental results shows the validity and the usefulness of the proposed algorithm for the 0.4Kw PMSM DSP(TMS320VC33) drive system.

회전자 자속 오차를 이용한 센서리스 유도전동기 제어 시스템 (Speed-sensorless Induction Motor Control System using the Rotor Flux Error)

  • 정강률
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2003년도 추계학술대회 논문집
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    • pp.123-126
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    • 2003
  • This paper proposes a speed-sensorless induction motor control system using the rotor flux error. The rotor flux observer uses the reduced- dimensional state estimator technique instead of directly measuring the rotor flux. The estimated rotor speed is obtained directly from the electrical frequency, the slip frequency, and the rotor speed compensation with the estimated q-axis rotor flux. To precisely estimate the rotor flux, the actual value of the stator resistance, whose actual variation is reflected, is derived. For fast calculation and improved performance of the proposed algorithm, all control functions are implemented in software using a digital signal processor (DSP) with its environmental circuits. Also, it is shown through experimental results that the proposed system gives good performance for the speed-sensorless induction motor control.

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오류역전파알고리즘을 이용한 신경회로망의 유도전동기 속도제어에 관한연구 (Study on Induction Motor Speed Control of Neural Network using Backpropagation Algorism)

  • 전기영;성낙규;이승환;오봉환;이훈구;한경희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 B
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    • pp.1159-1161
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    • 2000
  • This paper presents a speed control system of induction motor using neural network The speed control of induction motor was designed to NNC(Neural Network Controller) and NNE(Neural Network Estimator) used backpropagation, the NNE was constituted to be get an error value of output of an induction motor and conspire an input/output. NNC is controled to be made the error of reference speed and actual speed decrease, and in order to determine the weighting of NNC can be back propagated through the NNE, and it is adapted to the outside circumstances and system characters with learning ability.

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VHDL을 이용한 유도전동기의 직접 토크 제어 ASIC 설계 (ASIG Design for Direct Torque Control of Induction Motor using VHDL)

  • 이호재;김세진;이병춘;권영안
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 추계학술대회 논문집 학회본부 B
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    • pp.336-338
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    • 2000
  • Recently many studies have been performed for variable speed control of induction motor. Direct Torque Control(DTC) is emerging technique for variable speed control of PWM inverter driven induction motor. DTC allows the direct control of stator flux and instantaneous torque through simple algorithm. In this paper ASIC design technique using VHDL is applied to DTC based speed control of induction motor. ASIC for DTC based speed control is designed through the description of coordinate transformation, speed controller stator flux and torque estimator, stator flux and torque controller, stator flux position detector. FSM(Finite State Machine) and inverter voltage switching vector. Finally the above system has been implemented on the FPGA (XC4052XL-PG411). Simulation and experiment has been performed to verify the performance of the designed ASTC.

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A Simple Strategy for Sensorless Speed Control for an IPMSM During Startup and Over Wide Speed Range

  • Sim, Hyun-Woo;Lee, June-Seok;Lee, Kyo-Beum
    • Journal of Electrical Engineering and Technology
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    • 제9권5호
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    • pp.1582-1591
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    • 2014
  • This paper presents a hybrid sensorless control for an interior permanent magnet synchronous motor (IPMSM) for zero-, low-, and high-speed regions. Many sensorless control methods such as an observer-based estimator have been introduced. However, most of the observer-based estimators have a disadvantage at start-up and in the low-speed region. To solve this problem, a simple strategy of using a hybrid system is proposed by integrating a high-frequency (HF) signal injection method and a full-order flux observer. In addition, an HF signal injection method with only a low pass filter (LPF) is proposed to simplify the hybrid system. The hybrid system achieves high-performance drive throughout the entire speed range. The effectiveness of the proposed hybrid technique is verified by experiments using an 11-kW IPMSM drive system.