Multi-Agent Based Active Noise Intelligent Control

2014 ◽  
Vol 496-500 ◽  
pp. 1685-1689
Author(s):  
Huai Feng Cui ◽  
Nan Chen

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.

2011 ◽  
Vol 2011.21 (0) ◽  
pp. 75-78
Author(s):  
Xun WANG ◽  
Shinya KIJIMOTO ◽  
Koichi MATSUDA ◽  
Yosuke KOBA

2014 ◽  
Vol 26 (2) ◽  
pp. 1051-1063 ◽  
Author(s):  
Behrooz Raeisy ◽  
Shapoor Golbahar Haghighi ◽  
Ali Akbar Safavi

Author(s):  
Amir H. Chaghajerdi ◽  
Rahmat A. Shoureshi

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.


2013 ◽  
Vol 364 ◽  
pp. 275-279 ◽  
Author(s):  
Chun Ming Pei ◽  
Jiang Tao Liu ◽  
Zhen Yu Liu ◽  
Li Ming Ying

Active noise control system on power equipment is designed. The paper gives overall analysis of the structure of the system. Adaptive control algorithm of control system is designed and simulated by CCS3.3. With other parameters of the system fixed, control effect of the system is analyzed by changing the filter order. As can be seen from the experimental effect, good control effect can be obtained when appropriate parameters are selected.


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