• 제목/요약/키워드: Least mean square

검색결과 691건 처리시간 0.026초

능동 자기베어링 런아웃의 적응제어 (Adaptive control of Runout in Active magnetic bearing)

  • 김재실;배철용;이재환;안대균;최헌오
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 춘계학술대회 논문집
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    • pp.333-338
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    • 2002
  • 자기베어링의 회전정밀도에 영향을 미치는 인자로 PWM 전력증폭기, 위치 센서 등과 같은 자기베어링 구성 장치의 동특성 및 정밀도, 시스템의 정확한 모델링, 제어기법, 런아웃 등이 있다. 본 연구에서는 능동 자기베어링을 제어하기 위해 자기베어링의 PWM 전력증폭기와 회전축을 모델링하고 이를 바탕으로 능동 자기베어링 제어를 위한 PID 제어기를 구성하였으며, 변위 센서의 부착위치 및 회전축의 진원도의 영향으로 발생하는 주기적인 런아웃 요소를 첨가하여 런아웃의 영향을 확인하였으며, 런아웃 (Runout)에 의해 발생하는 에러(Error)를 효과적으로 제어하여 자기베어링의 제어 정밀도를 향상시키기 위한 방법으로 기본적인 PID 제어기에 최소평균자승(Least Mean Square, LMS) 알고리즘을 적용한 적응 피드포워드 제어기를 구성하여 자기베어링의 능동 제어에서 발생하는 주기적인 런아웃을 효과적으로 제어할 수 있음을 MATLAB을 통한 시뮬레이션을 통해 확인하였다.

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MFXLMS 알고리즘을 이용한 전자기베어링계의 외란보상 제어기 - 실험 (Disturbance Compensation Control of An Active Magnetic Bearing System by Multiple FXLMS Algorithm - Experiments)

  • 강민식;정종수
    • 한국정밀공학회지
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    • 제21권2호
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    • pp.83-91
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    • 2004
  • This paper illustrates the feasibility and the effectiveness of the disturbance feedforward compensation control proposed in the previous paper. The compensator is designed experimentally by means of the Multiple Filtered-x Least Mean Square algorithm. A 2-DOF active magnetic bearing system subject to base motion is built and the compensation control is applied. The experimental results demonstrate that the compensation control reduces the air-gap responses within 10$%$ of those by the feedback control alone without increasing the control inputs.

MFXLMS 알고리즘을 이용한 전자기배어링계의 외란 보상 제어기 - 이론 (Disturbance Compensation Control of An Active Magnetic Bearing System by Multiple FXLMS Algorithm - Theory)

  • 강민식;정종수
    • 한국정밀공학회지
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    • 제21권2호
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    • pp.74-82
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    • 2004
  • In this paper, a disturbance feedforward compensator design technique is proposed for an active magnetic bearing system subject to base motion for attenuating disturbance responses. In the consideration of the requirements on the model accuracy in the model based compensator designs, an experimental feedforward compensator design based on adaptive estimation by means of the Multiple Filtered-x least mean square(MFXLMS) algorithm is proposed. The performance and the effectiveness of the proposed technique will be presented in the succeeding paper in which the proposed technique is applied to a 2-DOF active magnetic bearing system subject to base motion.

MINT 필터링에 의한 스테레오 음향 반향 제거기의 성능 향상 (Performance Improvement of Stereo Acoustic Echo Canceller Using MINT Filtering)

  • 차경환
    • 한국음향학회지
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    • 제21권1호
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    • pp.42-46
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    • 2002
  • 본 논문에서는 스테레오 음향 반향 제거기의 성능을 향상시킬 수 있는 새로운 전처리 방법의 반향 제거기를 제안한다. 제안한 반향 제거기는 MINT (Multiple input/output INverse Theorem) 필터링에 의해 실내 전달함수의 잔향이 저감되어진 입력을 사용함으로써 필터계수의 추정오차를 감소시켜 성능을 향상시킬 수 있었다. 실제의 스테레오 음성과 실제 음장의 전달함수를 사용한 시뮬레이션 결과, 제안한 방법이 NLMS (Normalized Least Mean Square)와 Projection 등의 적응 알고리즘 종류에 관계없이 ERLE가 3∼5 dB 향상됨을 확인하였다.

FXLMS 알고리듬을 이용한 사각밀폐공간의 능동소음제어 (Active Noise Control of a Closed Rectangular Cavity Using FXLMS Algorithms)

  • 류경완;홍진숙;신창주;정의봉
    • 한국소음진동공학회논문집
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    • 제21권11호
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    • pp.983-990
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    • 2011
  • This paper investigates active noise control(ANC) of a rectangular cavity using single channel filtered-x least mean square(FXLMS) algorithms to globally reduce the interior noise. To obtain the global reduction of the interior noise, multichannel active control should be incorporated in general. We, however, examined firstly the optimal location of the secondary source that produces a global reduction of the interior noise field using single channel control. We then investigated the frequency characteristics of the reduction to yield the effective frequency band of the active control system. It follows that the secondary source should be located as close to the primary source as possible in order to obtain the global reduction.

신경회로망 다중 LMS 기법을 이용한 고속철도의 실내소음저감을 위한 ANC 시스템 (A Neural Multiple LMS Based ANC System for Reducing Acoustic Noise of High-Speed Trains)

  • 조현철;이권순;남현도
    • 전기학회논문지P
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    • 제58권4호
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    • pp.385-390
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    • 2009
  • This paper presents a novel active noise control (ANC) system using least mean square (LMS) algorithm and neural network approach for decreasing acoustic noise signals inside high-speed trains. We construct a LMS framework as a nominal ANC system and additionally design an artificial single-layered perceptron model as an auxiliary ANC which is aimed to reduce real-time residuary noise due to its nonstationary and uncertain nature. Parameter vector of the hybrid ANC is determined through online estimation to realize an adaptive ANC configuration by means of the steepest descent algorithm. We achieve simulation experiment to demonstrate the proposed ANC system employing realistic acoustic noise signals measured in Korea Train eXpress (KTX).

Harmonic Elimination and Reactive Power Compensation with a Novel Control Algorithm based Active Power Filter

  • Garanayak, Priyabrat;Panda, Gayadhar
    • Journal of Power Electronics
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    • 제15권6호
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    • pp.1619-1627
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    • 2015
  • This paper presents a power system harmonic elimination using the mixed adaptive linear neural network and variable step-size leaky least mean square (ADALINE-VSSLLMS) control algorithm based active power filter (APF). The weight vector of ADALINE along with the variable step-size parameter and leakage coefficient of the VSSLLMS algorithm are automatically adjusted to eliminate harmonics from the distorted load current. For all iteration, the VSSLLMS algorithm selects a new rate of convergence for searching and runs the computations. The adopted shunt-hybrid APF (SHAPF) consists of an APF and a series of 7th tuned passive filter connected to each phase. The performance of the proposed ADALINE-VSSLLMS control algorithm employed for SHAPF is analyzed through a simulation in a MATLAB/Simulink environment. Experimental results of a real-time prototype validate the efficacy of the proposed control algorithm.

FXLMS 알고리듬을 이용한 사각밀폐공간의 능동소음제어 (Active Noise Control of Closed Rectangular Cavity using the FXLMS Algorithms)

  • 류경완;홍진숙;정의봉
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2009년도 춘계학술대회 논문집
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    • pp.247-249
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    • 2009
  • This paper investigates active noise control(ANC) of a rectangular cavity using single channel filtered-x least mean square(FXLMS) algorithms to reduce interior noise globally. To obtain global reduction of the interior noise, multichannel active control should be incorporated in general. We, however, examined firstly the optimal location of the secondary speaker that produces a global reduction of the interior noise field. We then investigated the frequency characteristics of the reduction to yield the effective frequency band of the active control system. It follows that the secondary speaker should be located as close to the primary source as possible in order to obtain global reduction.

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전자기베어링에서 Filtered-x LMS 알고리즘을 이용한 외란보상 제어기 설계 (Disturbance Compensation Control in Active Magnetic Bearing Systems by Filtered-x LMS Algorithm)

  • 강민식;강윤식;이대옥
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.447-450
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    • 2003
  • This paper concerns on application of active magnetic bearing(AMB) system to levitate the elevation axis of an electro-optical sight mounted on moving vehicles. In such a system. it is desirable to retain the elevation axis within the predetermined air-gap while the vehicle is moving. A disturbance compensation control is proposed to reduce the base motion response. In the consideration of the uncertainty of the system model, a filtered-x least-mean-square(FXLMS) algorithm is used to estimate adaptively the frequency response function of the feedforward control which cancels disturbance responses. The frequency response function is fitted to an optimal feedforward control. Experimental results demonstrate that the proposed control reduces the air-gap deviation to 27.7% that by feedback control alone.

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Active Control of Road-Booming-Noise with Constraint Multiple Filtered-X LMS Algorithm

  • Oh, Shi-Hwan;Kim, Hyoun-Suk;Park, Young-Jin
    • The Journal of the Acoustical Society of Korea
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    • 제19권2E호
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    • pp.3-7
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    • 2000
  • Vibration generated by the non-uniform road profile propagates though each tire and the suspension and finally generates structure born noise in the interior of the passenger vehicle. In this paper, the road-booming-noise which has strong correlation with the vibration signals measured at the suspension system was compensated. Active noise control of the road-booming-noise is rather difficult to achieve because of its non-stationary characteristics. CMFX LMS (Constraint Multiple Filtered-X Least Mean Square) algorithm, which can track non-stationary process rather well, is applied. Comprison of the proposed method and the conventional MFX LMS (Multiple Filtered-X Least Mean Square) algorithm is made through the hardware-in-the-loop simulation and the feasibility of the proposed method is demonstrated with the experiment.

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