Digital Implementation of Reference Signal in Active Noise Control System for Blade Passing Frequency Noise of Vacuum Motor

In order to find a solution to the control of low frequency noise in the cabin of turboprop driven aircraft, an experimental active noise control (ANC) system is introduced in the paper, which consists of vibroacoustic field analogue subsystem, acoustic field measurement subsystem and acoustic barrier exciter subsystem. Effects of both different spaces between the primary sound source and secondary sound source of the ANC system and different frequency noises on noise-reduction result are investigated based on the experimental platform. Results of the experiment show a significant potential of the ANC method for the control of low frequency noise in the cabin of turboprop driven aircraft.

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Simulation of Active Noise Control System on the Truck Interior Cab

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.798-799.443 ◽

2013 ◽

Vol 798-799 ◽

pp. 443-447

Author(s):

Qi Chen LU ◽

Hui Bin LI ◽

Hua Huang

Keyword(s):

Control System ◽

Control Systems ◽

Active Control ◽

Noise Control ◽

Active Noise Control ◽

Low Frequency ◽

Frequency Noise ◽

Simulink Model ◽

Active Noise ◽

Active Control System

Studying on adaptive active noise control (AANC) system of the truck interior cab to reduce the low-frequency noise,a normalization FLMS algorithm simulink model is established in Matlab/Simulink.Then taking it as the core,a feedforward adaptive active control system and a feedback adaptive active control system of the tuck interior cab are established in Matlab/Simulink .Considerating the actual error channels effects on systems ,the noise reduction effects of two adaptive active control systems are verified from the simulintion results.Through comparing the two wo adaptive active control systems,we found that the feedforward adaptive active control system is more stable.

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Convex combination-based active impulse noise control system

Journal of Low Frequency Noise Vibration and Active Control ◽

10.1177/1461348419838394 ◽

2019 ◽

Vol 39 (1) ◽

pp. 190-202 ◽

Cited By ~ 1

Author(s):

Ning Yu ◽

Zhaoxia Li ◽

Yinfeng Wu ◽

Renjian Feng ◽

Bin Chen

Keyword(s):

Control System ◽

Noise Reduction ◽

Impulse Noise ◽

Noise Control ◽

Convex Combination ◽

Active Noise Control ◽

Lms Algorithm ◽

Frequency Noise ◽

Active Noise ◽

Risk Sensitive

Active noise control shows a good performance on the suppression of the low-frequency noise and hence it is widely applied. However, the traditional active noise control systems are unsatisfactory in controlling impulse noise in practical situations. A method based on the convex combination of filtered-x least mean square and filtered-x minimum kernel risk-sensitive loss adaptive algorithms (CFxLM) is presented to efficiently suppress impulse noise. Due to the simplicity of the LMS algorithm, the related filter is selected as the fast filter. Because the minimum kernel risk-sensitive loss algorithm is robust to impulse noise and can offer good convergence performance, we first apply it to the active noise control system and select the corresponding filter as the slow one. The proposed CFxLM algorithm can achieve both fast convergence and good noise reduction and any prior knowledge of reference noise is unnecessary. Extensive simulations demonstrate the superior noise reduction capability of the developed CFxLM-based active noise control system in controlling impulse noise.

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Development of Engine Exhaust Active Noise Control System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.986-987.1196 ◽

2014 ◽

Vol 986-987 ◽

pp. 1196-1200

Author(s):

Jie Wang ◽

Zhi En Liu ◽

Jia Wei Zeng ◽

Chao Wang

Keyword(s):

Control System ◽

Noise Control ◽

Active Noise Control ◽

Low Frequency ◽

Signal Acquisition ◽

Frequency Noise ◽

Low Frequency Noise ◽

Engine Exhaust ◽

Voice Signal ◽

Active Noise

In order to enhance the capacity of elimination of engine exhaust low frequency noise, a set of engine exhaust active noise control system was developed. The system was developed by using MC9S12XS128 MCU, and it is based on the theory of sound wave interference. The system can realize the voice signal acquisition, reverse phase processing and output, and can eliminate engine exhaust low frequency noise. Experimental results showed that the system has good silencing effects on the engine exhaust noise under the steady state.

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Experience With Active Control of Exhaust Noise From a Large Frame Combustion Turbine

Volume 3: Heat Transfer; Electric Power; Industrial and Cogeneration ◽

10.1115/97-gt-139 ◽

1997 ◽

Author(s):

Lisa A. Beeson ◽

George A. Schott

Keyword(s):

Control System ◽

Noise Control ◽

Active Noise Control ◽

Low Frequency ◽

Heat Rate ◽

Frequency Noise ◽

Low Frequency Noise ◽

Residential Areas ◽

Active Noise ◽

Exhaust Noise

Low frequency noise generated by combustion turbine exhaust is one of the most difficult environmental impacts to control. When a combustion turbine power plant is located near residential areas or other sensitive receptors, it is imperative to minimize the low frequency noise being emitted. In the past, available technology was limited to passive and reactive silencers and massive enclosures or barrier walls. These techniques are expensive and can have significant impacts on megawatt output and heat rate. Active noise control technology offers an alternative for applications near sensitive receptors. An active noise control system was installed on the exhaust stack of a combustion turbine with an objective to cancel exhaust noise at frequencies below 35 Hertz (Hz). Unlike passive and reactive low frequency silencing, the active noise control system does not impact combustion turbine performance. The technology can be applied to new apparatus and can be retrofit to existing facilities with minimal changes to the design.

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Modelling and simulation of active noise control in a small room

Journal of Vibration and Control ◽

10.1177/1077546316647572 ◽

2016 ◽

Vol 24 (3) ◽

pp. 607-618 ◽

Cited By ~ 2

Author(s):

Fauzi Aslan ◽

Roshun Paurobally

Keyword(s):

Control System ◽

Noise Control ◽

Single Channel ◽

Active Noise Control ◽

Single Frequency ◽

Frequency Noise ◽

Sensors And Actuators ◽

Multichannel System ◽

Active Noise ◽

Small Room

This paper presents the modeling and simulation results of active noise control (ANC) in a small room using the wave-based approach defined by particle velocities and sound pressure within the defined boundary conditions. The ANC system excitation is a single-frequency noise with an adaptive feedforward configuration. The Finite Difference Time Domain (FDTD) algorithm is used to model the room acoustics due to a boxed loudspeaker of single frequency. A control system based on the filtered-x least mean-squared (FxLMS) algorithm is utilized to synthesize a cancelling noise using a secondary loudspeaker. The single channel system is modified into a multichannel system and genetic algorithm (GA) is used to optimize the sensors and actuators placements simultaneously. Numerical results are plotted to demonstrate the performance of the control system. These show that the numerical modelling technique can be used to combine room acoustic simulation and FxLMS adaptive control. This provides a way for the optimum placement of the microphones and loudspeakers before being used in a practical complex enclosure.

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