Multi-Agent Based Active Noise Intelligent Control

2014 ◽  
Vol 496-500 ◽  
pp. 1685-1689
Author(s):  
Huai Feng Cui ◽  
Nan Chen
Keyword(s):  
Control Problem ◽  
Local Control ◽  
Noise Control ◽  
Active Noise Control ◽  
Control Unit ◽  
Good Control ◽  
Agent Based ◽  
Active Noise ◽  
Flexible Plates ◽  
Multi Agent

Multi-agent based active noise control (ANC) is investigated in this paper. An enclosure consisting of two flexible plates is discussed. The noise control problem is decomposed into several local control problems on the basis of the dominant structural modal. Each local control problem is solved by an intelligent structure, i.e. agent control unit (ACU). The ACU includes sensor, actuator and controller. The relationship among the ACUs is negotiated by a coordination object. The architecture of multi-agent based active control is established using the coordination object. The control system can work smoothly in dynamic environments. It has the flexibility and robustness. The simulation results indicate that the good control performances are attained.

Role of Acoustic Properties in Biomedical Active Noise Control

2020 ◽  
Vol 9 (1) ◽  
pp. 48-60
Author(s):  
Sajil C. K. ◽  
Achuthsankar S. Nair
Keyword(s):  
Numerical Simulation ◽  
Biomedical Applications ◽  
Noise Control ◽  
Active Noise Control ◽  
Acoustic Properties ◽  
Reflection Coefficients ◽  
Sensors And Actuators ◽  
Active Noise ◽  
Source Signal

Active noise control (ANC) systems are tailored for user-specific scenarios which are required in biomedical applications due to the physical restrictions in the placement of sensors and actuators. This study examines the role of spectral flatness of acoustic channels and room reflection coefficients in ANC performance. Each room has a unique characteristic response in transforming a source signal. By employing preliminary measurements and numerical simulation, the authors show that improved noise control is possible by optimizing room reverberation and spectral flatness of the secondary acoustic channel. This result has potential application in improving existing ANC systems in biomedical applications like fMRI.

Noise Reduction in Ducts Achievable by Point Control

1998 ◽  
Vol 120 (2) ◽  
pp. 216-223 ◽  
Author(s):  
K. A. Morris
Keyword(s):  
Noise Reduction ◽  
Closed Loop ◽  
Noise Control ◽  
Active Noise Control ◽  
Practical Interest ◽  
Noise Levels ◽  
Sensors And Actuators ◽  
One Dimensional ◽  
Active Noise ◽  
Point Control

Noise control in a one-dimensional duct is analyzed. This problem is of practical interest and is also simple enough that a complete theoretical analysis is possible. It is shown that the optimal controller leads to an unstable closed loop. The noise reduction level achievable with a stable closed loop is calculated for arbitrary choices of sensor and actuator locations. This enables the best placement of sensors and actuators to be determined. Also, the analysis indicates that a “spatial waterbed” effect exists in some configurations of active noise control: i.e., that noise levels are increased for points outside of the region over which the design is done.

Research on Active Noise Control in Power Transformer

2011 ◽  
Vol 347-353 ◽  
pp. 2347-2350 ◽  
Author(s):  
Jiang Tao Liu ◽  
Li Ming Ying ◽  
Chun Ming Pei
Keyword(s):  
Design Methodology ◽  
Noise Control ◽  
Power Transformer ◽  
Active Noise Control ◽  
Noise Cancellation ◽  
Optimal Location ◽  
Noise Attenuation ◽  
Large Power ◽  
Output Error ◽  
Active Noise

The problem of noise in power transformer was pay attention to by this paper. The paper presents the design methodology for the active noise control (ANC) of sound disturbances in power transformer. The active noise attenuation algorithm uses the framework of output-error based optimization of a linearly parameterized filter for feedforward sound compensation to select optimal location of sensor and demonstrate the effectiveness of active noise attention in a large power transformer. The ANC controller can automatically measure the sound disturbances and select the compensate parameters to realize the noise cancellation. With 220kV power transformer noise cancellation, for example, the simulating results prove that the ANC technology to cancel the noise in power transformer is an effective way.

Design of Three-Dimensional Active Noise Control Systems With Random Excitations

2003 ◽  
Author(s):  
Amir H. Chaghajerdi ◽  
Rahmat A. Shoureshi
Keyword(s):  
Control Problem ◽  
Noise Control ◽  
Hybrid Control ◽  
Feedforward Control ◽  
Acoustic Radiation ◽  
Reference Signal ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Residual Noise ◽  
Active Noise

This paper addresses a general case of an active noise control problem with bandlimited random excitations. This study has concentrated on a combined adaptive feedforward/feedback (hybrid) active noise control architecture. Feedforward control is to attenuate the noise with frequency contents correlated to a reference signal, provided by the sensory output, and feedback is to attenuate the residual noise. Theoretical analysis of this hybrid control, and the required software and hardware designs for implementation of the proposed system are presented. The resulting controller has been applied to a common noise control problem, i.e. acoustic radiation. Experimental results from the implementation of this controller are discussed, and two-dimensional and three-dimensional quiet zones are illustrated.

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