Comparison with Adaptive Controllers for Multichannel Feedforward Control and its application to the active control of ship interior noise

2002 ◽  
Vol 2002.40 (0) ◽  
pp. 341-342
Author(s):  
Shunsuke ISHIMITSU ◽  
Stephen J. Elliott
Author(s):  
Akira Fukukita ◽  
Tomoo Saito ◽  
Keiji Shiba

We study the control effect for a 20-story benchmark building and apply passive or semi-active control devices to the building. First, the viscous damping wall is selected as a passive control device which consists of two outer plates and one inner plate, facing each other with a small gap filled with viscous fluid. The damping force depends on the interstory velocity, temperature and the shearing area. Next, the variable oil damper is selected as a semi-active control device which can produce the control forces by little electrical power. We propose a damper model in which the damping coefficient changes according to both the response of the damper and control forces based on an LQG feedback and feedforward control theory. It is demonstrated from the results of a series of simulations that the both passive device and semi-active device can effectively reduce the response of the structure in various earthquake motions.


2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Jie Duan ◽  
Mingfeng Li ◽  
Teik C. Lim ◽  
Ming-Ran Lee ◽  
Ming-Te Cheng ◽  
...  

Conventional active control of road noise inside a vehicle cabin generally uses a pure feedforward control system with the conventional filtered-x least mean square (FXLMS) algorithm. While it can yield satisfactory noise reduction when the reference signal is well correlated with the targeted noise, in practice, it is not always possible to obtain a reference signal that is highly coherent with a broadband response typically seen in road noise. To address this problem, an active noise control (ANC) system with a combined feedforward–feedback controller is proposed to improve the performance of attenuating road noise. To take full advantage of the feedforward control, a subband (SFXLMS) algorithm, which can achieve more noise attenuation over a broad frequency range, is used to replace the conventional FXLMS algorithm. Meanwhile, a feedback controller, based on internal model control (IMC) architecture, is introduced to reduce the road noise components that have strong response but are poorly correlated with the reference signals. The proposed combined feedforward–feedback ANC system has been demonstrated by a simulation model with six reference accelerometers, two control loudspeakers and one error microphone, using actual data measured from a test vehicle. Results show that the performance of the proposed combined controller is significantly better than using either a feedforward controller only or a feedback controller only, and is able to achieve about 4 dBA of overall sound pressure level reduction.


1999 ◽  
Vol 8 (5) ◽  
pp. 579-584 ◽  
Author(s):  
V Jayachandran ◽  
Patrick King ◽  
Nancy E Meyer ◽  
Florence J Li ◽  
Maria Petrova ◽  
...  

1991 ◽  
Vol 90 (4) ◽  
pp. 2269-2269
Author(s):  
R. J. Silcox ◽  
S. Lefebvre ◽  
T. B. Beyer ◽  
V. L. Metcalf

2016 ◽  
Vol 376 ◽  
pp. 18-32 ◽  
Author(s):  
Thomas Haase ◽  
Oliver Unruh ◽  
Stephan Algermissen ◽  
Martin Pohl

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