NV Countermeasure Technology for a Cylinder-On-Demand Engine- Development of Active Booming Noise Control System Applying Adaptive Notch Filter

2004 ◽  
Author(s):  
Toshio Inoue ◽  
Akira Takahashi ◽  
Hisashi Sano ◽  
Masahide Onishi ◽  
Yoshio Nakamura
Keyword(s):  
Control System ◽  
Noise Control ◽  
Notch Filter ◽  
Adaptive Notch Filter ◽  
On Demand ◽  
Engine Development

Improved stability performance of a feedback active noise control using a Steiglitz-McBride adaptive notch filter and robust secondary path identification based on variable step size Griffiths LMS algorithm

2021 ◽  
Vol 69 (2) ◽  
pp. 136-145
Author(s):  
S. Roopa ◽  
S.V. Narasimhan
Keyword(s):  
Noise Control ◽  
Active Noise Control ◽  
Notch Filter ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Adaptive Notch Filter ◽  
Active Noise ◽  
Variable Step ◽  
Feedback Active Noise Control

A stable feedback active noise control (FBANC) system with an improved performance in a broadband disturbance environment is proposed in this article. This is achieved by using a Steiglitz-McBride adaptive notch filter (SM-ANF) and robust secondary path identification (SPI) both based on variable step size Griffiths least mean square (LMS) algorithm. The broadband disturbance severely affects not only FBANC input synthesized but also the SPI.TheSM-ANFestimated signal has narrowband component that is utilized for the FBANC input synthesis. Further, the SM-ANF error has broadband component utilized to get the desired signal for SPI. The use of variable step size Griffiths gradient LMS algorithm for SPI enables the removal of broadband disturbance and non-stationary disturbance from the available desired signal for better SPI. For a narrowband noise field, the proposed FBANC improves the convergence rate significantly (20 times) and the noise reduction from 10 dB to 15 dB (50%improvement) over the conventional FBANC (without SM-ANF and variable step size Griffiths LMS adaptation for SPI).

An Adjustable Model Reference Adaptive Control for a Flexible Launch Vehicle

2010 ◽  
Vol 132 (4) ◽  
Author(s):  
A. M. Khoshnood ◽  
J. Roshanian ◽  
A. A. Jafari ◽  
A. Khaki-Sedigh
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Notch Filter ◽  
Launch Vehicle ◽  
System Stability ◽  
Large Space ◽  
Model Reference ◽  
Rigid Body Dynamic ◽  
Adaptive Notch Filter ◽  
Model Reference Adaptive

Flexibility and aeroelastic behaviors in large space structures can lead to degradation of control system stability and performance. The model reference adaptive notch filter is an effective methodology used and implemented for reducing such effects. In this approach, designing a model reference for adaptive control algorithm in a flight device such as a launch vehicle is very important. In this way, the vibrations resulting from the structure flexibility mostly affects the pitch channel, and its influences on the yaw channel are negligible. This property is used and also the symmetrical behavior of the yaw and pitch channels. In this paper, by using this property and also the symmetrical behavior of the yaw and pitch channels, a new model reference using identification on the yaw channel is proposed. This model behaves very similar to the rigid body dynamic of the pitch channel and can be used as a model reference to control the vibrational effects. Simulation results illustrated applies the proposed algorithm and considerably reduces the vibrations in the pitch channel. Moreover, the main advantage of this new method is the online tuning of the model reference against unforeseen variations in the parameters of the rigid launch vehicle, which has not been considered in the previous works. Finally, robustness of the new control system in the presence of asymmetric behavior is investigated.

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