• 대한기계학회논문집A
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• 제27권10호
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• pp.1712-1719
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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. An optimal base acceleration feedforward 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 the frequency response function of the feedforward control which cancels base motions. 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.

• The Journal of the Acoustical Society of Korea
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• 제17권3E호
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• pp.43-46
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• 1998

Many of the active noise control system utilize a form of the least mean square(LMS) algorithm. This paper discusses the dependence of the convergence rate on the acoustic error path in the popular algorithm which is conventional "filtered-x LMS" and introduces new algorithm "constrained filtered-x LMS". The proposed method increase the convergence region regardless of the time-delay in the acoustic error path. In the algorithms, coefficients of the controller are adapted using the residuals of constrained structure which are defined in such a way that the control process become stationary. Advantages of constrained filtered-x LMS algorithm is illustrated by convergence analysis in the mean sense.

• 제어로봇시스템학회논문지
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• 제13권6호
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• pp.547-554
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• 2007

This thesis presents a kind of active noise control(ANC) algorithm for reducing noise due to engine inside a car. The proposed control algorithm is, by using WP(Wavelet Packet), a one improving the instability due to delay of noise transmission and the lack of response ability for the rapid change of noise, which are defects of the existing FXLMS(Filtered-X Least Mean Square) algorithm. The chief character of this system is a thing that faster operation than the FXLMS is implemented by inserting WP in the secondary path. In other words, WP implements parallel operation. Then, the weights of filter in the adaptive algorithm will be updated faster. In addition, because WP have so excellent a resolution, they can process very minute noise. The efficiency of this control algorithm will be demonstrated in the matlab simulation and in the actual experiments by using a Labview program and a car.

• 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.

• 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.

• 한국음향학회지
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• 제36권1호
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• pp.57-63
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• 2017

본 논문에서는 FxLMS(Filtered-x Least Mean Square) 알고리즘을 이용한 단일 센서 기반의 능동 반향음 제어 알고리즘을 제안한다. 제안 알고리즘은 먼저 단일 센서 입력 신호로부터 입사음과 반향음을 분리하고, 분리된 신호들을 사용하여 반향음과 반대 위상을 갖는 제어 신호를 생성한다. 제어 신호는 센서 위치에서 반향음과 중첩되어 반향음의 음압을 감소시킨다. 적절한 신호 분리를 위해 반향 음향 경로와 제어 음향 경로가 필요하며 이는 swept sine 신호를 이용해 측정한 음향 응답으로부터 사전에 구할 수 있다. 효용성을 검증하기 위해 DSP(Digital Signal Processing) 보드를 사용하여 제안된 알고리즘을 실시간으로 구현하였으며, 공기 중 음향 덕트 환경에서 1 kHz 버스트 신호에 대해 반향음이 11.6 dB 감소함을 확인 하였다.

• 한국음향학회지
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• 제38권1호
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• pp.9-22
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• 2019

본 논문에서는 저가 MCU(Microcontoller Unit)를 이용하여 다채널 능동 소음 제어기를 효율적으로 구현할 수 있는 방안을 제안하였다. 다채널 능동 소음 제어 알고리즘으로 사용된 정규화된 MFxLMS(Modified Filtered-x Least Mean Square) 알고리즘은 많은 연산량을 요구하며, 저가 MCU로 구현하기에는 어려움이 있었다. 본 연구에서는 MCU의 특성을 잘 활용하여 소프트웨어를 최적화함으로써 효율적으로 다채널 능동 소음 제어기를 구현할 수 있었다. CPU(Central Processing Unit)가 지원하는 단일 싸이클 MAC(Multiply- Accumulate) 연산을 극대화하고, 지연 메모리 연산을 최소화함으로써 3배 이상의 연산 최적화를 달성하였다. 또한 MCU가 지원하는 보조 프로세서를 이용하여 병렬 처리함으로써 4배 이상의 연산 최적화를 이루었다. 더불어 MCU에 내장된 주변 장치를 최대한 활용함으써, 추가적인 부품의 사용을 최소화하였다.

• 한국음향학회지
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• 제34권5호
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• pp.377-384
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• 2015

본 논문은 노이즈 캔슬링 헤드폰을 위한 능동 소음 제어 알고리즘을 제안한다. 제안 알고리즘은 피드백 구조의 filtered-x least mean square algorithm(FxLMS) 기반 능동 소음 제어 기술을 이용하여 외부에서 헤드폰 내부로 유입되는 소음을 제어한다. 이때 가변적인 2차 경로에 강인하게 대처하기 위해 지속적으로 2차 경로를 추정하는 잔여 음악제거기 기반의 온라인 2차 경로 추정 알고리즘을 이용한다. 실험을 통해 2차 경로가 변화하는 환경에서 제안 능동 소음제어 알고리즘은 기존 알고리즘들에 비해 음악 신호의 왜곡 없이 안정적으로 일관성 있는 소음 제어 성능을 보임을 확인하였다.

• 소음진동
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• 제8권3호
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• pp.485-493
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• 1998

Many of the adaptive noise control systems utilize a form of the least mean square (LMS) algorithms. In the active control of noise, it is common practice to locate an error microphone far from the control source to avoid the near-field effects by evanescent waves. Such a distance between the control source and the error microphone makes a certain level of time-delay inevitable and, hence, may yield undesirable effects on the convergence properties of control algorithms such as filtered-x LMS. This paper discusses the dependence of the convergence rate on the acoustic error path in these popularalgorithms and introduces new algorithms which increase the convergence region regardless of the time-delay in the acoustic error path. Performances of the new LMS algorithms are presented in comparison with those by the conventional algorithms based on computer simulations and experiments.

• 대한기계학회논문집A
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• 제30권8호
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• pp.897-905
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• 2006

This study considers an experimental design of disturbance compensation control to improve stabilization performance of main battle tanks. An adaptive non-parametric design technique based on the Filtered-x Least Mean Square(FXLMS) algorithm is applied in the consideration of model uncertainties. The optimal compensator is designed by two-step design procedures: determination of frequency response function of the disturbance compensator which can cancel the disturbance of series of single harmonics by using the FXLMS algorithm and determination of the compensator polynomial which can fit the frequency response function obtained in the first step optimally by using a curve fitting technique. The disturbance compensator is applied to a simple experimental gun-torsion bar-motor system which simulates gun driving servo-system. Along with experimental results, the feasibility of the proposed technique is illustrated. Experimental results demonstrate that the proposed control reduces the standard deviation of stabilization error to 47.6% that by feedback control alone. The directional properties of the FXLMS Algorithm such as the direction of convergence and its convergence speed are also verified experimentally.