Active noise control technique for diesel train locomotor exhaust noise abatement

2002 ◽  
Vol 112 (5) ◽  
pp. 2427-2428 ◽  
Author(s):  
Franco Cotana ◽  
Federico Rossi
2011 ◽  
Vol 2011 (0) ◽  
pp. _628-1_-_628-8_
Author(s):  
Xnn WANG ◽  
Shinya KIJIMOTO ◽  
Yosuke KOBA

2008 ◽  
Vol 130 (5) ◽  
Author(s):  
Tom C. Waite ◽  
Qingze Zou ◽  
Atul Kelkar

In this article, an inversion-based feedforward control approach to achieve broadband active-noise control is investigated. Broadband active-noise control is needed in many areas, from heating, ventilation and air conditioning (HVAC) ducts to aircraft cabins. Achieving broadband active-noise control, however, is very challenging due to issues such as the complexity of acoustic dynamics (which has no natural roll-off at high frequency, and is often nonminimum phase), the wide frequency spectrum of the acoustic noise, and the critical requirement to overcome the delay of the control input relative to the noise signal. These issues have limited the success of existing feedforward control techniques to the low-frequency range of [0,1]kHz. The modeling issues in capturing the complex acoustic dynamics coupled with its nonminimum-phase characteristic also prevent the use of high-gain feedback methods, making the design of an effective controller to combat broadband noises challenging. In this article, we explore, through experiments, the potential of inversion-based feedforward control approach for noise control over the 1kHz low-frequency range limit. Then we account for the effect of modeling errors on the feedforward input by a recently developed inversion-based iterative control technique. Experimental results presented show that noise reduction of over 10–15dB can be achieved in a broad frequency range of 5kHz by using the inversion-based feedforward control technique.


2021 ◽  
pp. 095745652199983
Author(s):  
Rahmatullah Khan ◽  
Mohammad Muzammil ◽  
Omar Farooq

Active noise control technique was used to reduce noise generated by a grass cutting machine. Grass cutting machine running on a diesel engine generates loud noise of about 105 dBA. Based on the spectral analysis of engine noise, it was observed that frequencies in the range of 440–5000 Hz were having more noise power. An active noise control circuit was designed and fabricated using operational amplifiers. The active noise control circuit was tested with the help of a duct made of thermocol. Results show that reduction in noise up to 10 dBA was obtained when the active noise control circuit was used with a duct made of thermocol, while a reduction up to 5 dBA was obtained when used on a grass cutting machine. The active noise control system developed may be used to reduce noise generated by a grass cutting machine.


1991 ◽  
Vol 113 (3) ◽  
pp. 387-394 ◽  
Author(s):  
K. A. Cunefare ◽  
G. H. Koopmann

This paper presents the theoretical development of an approach to active noise control (ANC) applicable to three-dimensional radiators. The active noise control technique, termed ANC Optimization Analysis, is based on minimizing the total radiated power by adding secondary acoustic sources on the primary noise source. ANC Optimization Analysis determines the optimum magnitude and phase at which to drive the secondary control sources in order to achieve the best possible reduction in the total radiated power from the noise source/control source combination. For example, ANC Optimization Analysis predicts a 20 dB reduction in the total power radiated from a sphere of radius α at a dimensionless wavenumber ka of 0.125, for a single control source representing 2.5 percent of the total area of the sphere. ANC Optimization Analysis is based on a boundary element formulation of the Helmholtz Integral Equation, and thus, the optimization analysis applies to a single frequency, while multiple frequencies can be treated through repeated analyses.


Author(s):  
A.H.A. Moustafa ◽  
N.W. Messiha ◽  
A. El-Malawany ◽  
M. El-Messiry ◽  
M. Shafik

2000 ◽  
Vol 36 (14) ◽  
pp. 1250 ◽  
Author(s):  
Hyuck-Jae Lee ◽  
Young-Cheol Park ◽  
Chungyong Lee ◽  
Dae Hee Youn

Sign in / Sign up

Export Citation Format

Share Document