• 대한전기학회:학술대회논문집
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• 대한전기학회 1997년도 하계학술대회 논문집 B
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• pp.482-484
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• 1997

This paper studies on a feedback active noise control method for the quasi stationary. The quasi one dimension space means a duct space which have a shorter 2th path than the one dimension space. To control noise signal, a feedback active noise control using FXLMS algorithm is used Computer simulation show that the algorithm can control noise signal in the quasi stationary.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.1964-1966
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• 2001

Active Noise control(ANC) is rapidly becoming the most effective way to reduce noises that can otherwise be very difficult and expensive to control. This research presents ANFIS (Adaptive Network Fuzzy Inference System) controller for adaptively noise cancelling in a duct. ANC system generates secondary control sound pressure with same amplitude and with opposite phase as noise to be eliminated. ANFIS controller is trained to optimize its parameters for adaptively cancelling noise. That is ANFIS train its parameters by gradient descent and LSE method so called hybrid method. This paper present ANFIS in active noise control which provides an improvement convergence speed and limitation of linearity condition. It can model nonlinear functions of arbitrary complexity and ANFIS can construct an input-ouput mapping based on both human knowledge in the form of Takagi and Sugeno's fuzzy if-then rules and stipulated input-output data pairs. This paper also shows that the proposed ANFIS active noise control system successfully cancelled noise.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2009년도 하계학술발표대회 논문집
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• pp.1055-1060
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• 2009

Noise is one of the major environmental problems in human life. But hot water distributers with the flow rate control valve bring about often noise according to the heating control condition in residential buildings. The sound power level increased as the flow rate and pressure difference increased. And thus, experimental analyses for the flow rate control and the pressure difference control were carried out in this study to reduce the noise emitted from the flow rate control valve. As the results, the flow rate control method using a SMA(Shape Memory Alloy)-valve and the flow rate control system using a pressure difference sensor can be expected to control noise in the region of below 50 dB of sound power level.

• 한국건설관리학회논문집
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• 제15권2호
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• pp.12-22
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• 2014

건설현장에서 발생하는 소음으로 인하여 많은 사람들이 고통을 겪고 있고, 그로 인하여 민원과 분쟁이 증가하고 있다. 이러한 민원은 사업의 지연 및 중단, 배상액 지불과 같은 시간적, 경제적 손실을 초래하므로 엄격하게 관리되어야 한다. 이와 같은 추세에 따라 정부는 기존 방음벽 중심의 소음정책에서 탈피하여 발생원 중심으로 소음을 관리하기 위해 노력하고 있다. 그러나 건설소음은 일시적이고, 불규칙적으로 발생하며, 건설장비 자체의 소음레벨이 높기 때문에 쉽게 제어되기 어렵다. 또한 최근 선진국을 중심으로 사람들에게 쉽게 인지되지는 않지만, 고주파 소음과 마찬가지로 인체에 정신적, 신체적 피해를 주는 저주파 소음에 대한 연구를 활발히 진행하고 있다. 그러나 기존의 수동적인 소음관리방식으로는 고주파 소음을 저감하는데 효과가 있을 뿐, 저주파 소음을 저감하는데는 한계가 있다. 그러므로 본 연구는 건설현장에서 발생하는 소음을 저감하고, 기존의 수동적인 소음관리방식의 한계점을 보완하기 위한 방법으로 능동소음제어를 이용하여 건설현장에서 발생하는 소음을 저감하기 위한 관리모델을 제안하는 것을 목적으로 한다. 이를 위하여 시뮬레이션 실험을 수행하였고, 능동소음제어의 건설현장 적용성을 검토하였다. 본 논문은 능동소음제어를 통하여 건설현장에서 발생하는 소음을 저감하고, 소음피해로 인한 민원과 분쟁을 최소화하는데 일조할 수 있을 것이라 기대한다.

• 전기전자학회논문지
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• 제5권1호
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• pp.16-23
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• 2001

수동적인 소음 감쇠는 산업현장에서 발생되는 소음을 감소시키기 위해서 주로 사용된 방법이다. 그리고 능동적인 소음 감쇠방법은 수동적인 소음 감쇠방법에 비해 많은 이점을 가지고 있다. 능동적인 소음 감쇠 시스템은 낮은 대역의 주파수 영역에서 소음 감쇠 성능이 우수하며, 소형 경량으로 설계할 수 있는 이점이 있다. 본 논문에서는 능동적인 소음감쇠를 위한 간단한 궤환 루프 제어 시스템을 제안한다. 능동적인 궤환 제어 시스템은 위상 지연 보상과 반전 회로와 외부 소음을 수음할 수 있는 마이크로폰과 외부 소음을 줄이기 위해 위상이 반전된 소음을 발생시키는 스피커로 구성되어 있다. 그리고 소음감쇠 성능을 향상시키기 위해서 위상천이기를 사용하여 진폭 응답 곡선에서 최대가 되는 주파수에서 위상차가 $180^{\circ}$가 되도록 위상을 보정하여 소음을 제거했다. 능동소음제어에서 위상 지연이 $50^{\circ}$ 와 $310^{\circ}$ 사이에 존재하는 소음이 감소되는 경향이 있었으며, 소음은 헬멧 내에서 약 20[dB] 감쇠되는 결과를 얻었다.

• 한국도로학회논문집
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• 제15권6호
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• pp.41-47
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• 2013

PURPOSES : The purpose of this study is about noise which is generated from roads and is consist of irregular frequency variation from low frequency to various band. The existing methods of noise reduction are sound barrier that uses insulation material and absorbing material or have applied passive technology of noise reduction by devices. The total frequency band is needed to apply active noise control. METHODS : In this study applies to the field of road traffic environment, signal processing controller and various analog signal input/output, the amplifier module is based on parallel-core embedded processor designed. DSP performs the control algorithm of the road traffic noise. Noise sources in the open space performance of evaluation were applied. In this study, controller of active signal processor was designed based on the module of audio input/output and main controller of embedded process. The controller of active signal processor operates noise reduction algorithm and performance tests of noise reduction in inside and outside environment were executed. RESULTS : The signal processing controller with OMAP-L137 parallel-core processors as the center, DSP processors in the active control operations dealt with quickly. To maximize the operation speed of an object and ARM processor is external function keys and display for functions and evaluating the performance management system was designed for the purpose of the interface. Therefore the reduction of road traffic noise has established an electronic controller-based noise reduction. CONCLUSIONS : It is shown that noise reduction is effective in the case of pour tonal sound and complex tonal sound below 500Hz by appling to Fx-LMS.

• 한국소음진동공학회논문집
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• 제26권4호
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• pp.475-482
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• 2016

The active control of noise generated by the compressor and transmitted out of the machine room through the windows is implemented based on the FIR filter. The machine room contains most of noise sources of electric home appliances, air-conditioners and refrigerators, for example. To actively reduce the noise from the machinery room. In this paper, the transfer function of the controller for minimization of the acoustic power transmitted through the windows is mathematically formulated. The transfer functions required for implementation of the active controller are the measured. The measurements are conducted in this initial stage under the operation of the compressor with no load. For improvement of the reliability of the transfer function of the compressor to the acoustic power, additional operational measurements are performed. The real time controller is implemented based on the FIR filter using the measured transfer functions and the performance of the active controller is estimated. Control performance is measured about 3 dB ~ 10 dB in reduction of the sound power at the peaks of the compressor noise.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 추계학술대회논문집
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• pp.857-861
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• 2004

An active method that improves low frequency characteristics of a reverberation chamber has been proposed. Spatial uniformity of sound pressure at low frequency has been increased by applying active noise control system. The system acts as frequency selective damping materials, which decreases resonance at low frequency and leave high frequency sound field as it is. Linearity of the chamber, which is essential for sound power measurement in the chamber, is guaranteed since fixed control logic has been adopted. Simple application and tests have been done in a small sized rectangular reverberation chamber which has 400Hz cutoff, Loud speakers were used to simulate a noise source and to construct an active noise control system. The spatial distribution of a sound field at 250Hz, 315Hz and 400Hz bands has been measured before and after control. The standard deviation of sound field has been decreased from 3.4dB to 2.5dB. The results show the possibility of active control system as a sound diffuser.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 추계학술대회논문집
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• pp.551-554
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• 2005

The method of the reduction of the automotive induction noise can be classified by the method of passive control and the method of active control. However, the passive control method has a demerit to reduce the effect of noise reduction at low frequency (below 500Hz) range and to be limited by a space of the engine room. Whereas, the active control method can overcome the demerit of passive control method. The algorithm of active control is mostly used the LMS (Least-Mean-Square) algorithm because the LMS algorithm can easily obtain the complex transfer function in real-time. Especially, When the Filtered-X LMS (FXLMS) algorithm is applied to an ANC system. However, the convergence performance of LMS algorithm goes bad when the FXLMS algorithm is applied to an active control of the induction noise under rapidly accelerated driving conditions. Thus Normalized FXLMS algorithm was developed to improve the control performance under the rapid acceleration. The advantage of Normalized FXLMS algorithm is that the step size is no longer constant. Instead, it varies with time. But there is one additional practical difficulty that can arise when a nonstationary input is used. If the input is zero for consecutive samples, then the step size becomes unbounded. So, in order to solve this problem. the Correlation FXLMS algorithm was developed. The Correlation FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Correlation FXLMS Is presented in comparison with that of the other FXLMS algorithms based on computer simulations.

• 소음진동
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• 제8권2호
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• pp.283-288
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• 1998

If one wants to control the noise from a duct, then one must have sufficient number of sensors and actuators so that the control system is observable and controllable. A number of sensors and actuators for control of radiating noise from a duct have to be incorporated with the number of modes which one wants to control. These considerations motivated the present study that considers a control system which has less microphones and actuators than required. In this work, by theoretical analysis and numerical simulation, the control performance and robust reliability of such a kind of control system is investigated in terms of sound-field variables and control system variables. Then the possibility of implementation of the robust radiation power control system is verified by theoretical analysis and numerical simulation. In addition, the control performance of the control system is verified by experiment.