Performance Testing and Analysis of Multi-Channel Active Control System for Vehicle Interior Noise Using Adaptive Notch Filter

2019 ◽  
Author(s):  
Lijun Zhang ◽  
Xiyu Zhang ◽  
Dejian Meng
Keyword(s):  
Control System ◽  
Active Control ◽  
Notch Filter ◽  
Performance Testing ◽  
Interior Noise ◽  
Vehicle Interior ◽  
Adaptive Notch Filter ◽  
Vehicle Interior Noise ◽  
Active Control System

scholarly journals Development and Implementation of a Multi-Channel Active Control System for the Reduction of Road Induced Vehicle Interior Noise

Actuators ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 52 ◽  
Author(s):  
Gunnar Gäbel ◽  
Jonathan Millitzer ◽  
Heiko Atzrodt ◽  
Sven Herold ◽  
Andreas Mohr
Keyword(s):  
Control System ◽  
Active Control ◽  
Noise Level ◽  
Interior Noise ◽  
System Level ◽  
Active System ◽  
Vehicle Interior ◽  
Full Vehicle ◽  
System Level Simulation ◽  
Active Control System

An optimized driving comfort with a low interior noise level is an important intention in the passenger car development process. The interior noise level caused by the dynamic interaction between the rolling tyre and the rough road surface and transmitted via the car-body is a significant component of the entire noise level. To reduce the road induced interior noise, in general, the chassis system has to be optimized. Passive measures often induces a trade-off between vehicle dynamics and driving comfort. To overcome this disadvantage in this paper, the development and realization of an active measure is proposed. For the purpose of active mechanical decoupling, an active control system is developed, the feasibility of the integration is investigated and its noise reduction potential is identified by vehicle tests. In a first step, a classical multi-channel and experimental-based structure-borne transfer path analysis of the full vehicle is realized to determine the dominant transfer paths. The concept for the active mount system (active mounts, multi-channel control system, sensors) is developed and parametrized by system level simulation. Mechanical components and power electronics of the active system are designed, manufactured and tested in the laboratory. Subsequently, the entire active system is integrated into the vehicle. The broadband adaptive feedforward algorithm is extended by certain measures in order to improve robustness and performance. Full vehicle tests are used to quantify the required specifications and the achieved effectiveness of the active vibration control system.

Active control for vehicle interior noise based on DWT-FxLMS algorithm using a piezoelectric feedback system

2020 ◽  
Vol 167 ◽  
pp. 107409
Author(s):  
Y.S. Wang ◽  
H. Guo ◽  
Y.R. Li ◽  
N.N. Liu ◽  
C. Yang
Keyword(s):  
Active Control ◽  
Feedback System ◽  
Interior Noise ◽  
Vehicle Interior ◽  
Vehicle Interior Noise ◽  
Fxlms Algorithm

scholarly journals Study on Active Control System of Ship Interior Noise.

2002 ◽  
Vol 37 (9) ◽  
pp. 711-718
Author(s):  
S. Ishimitsu ◽  
M. Yoshimura
Keyword(s):  
Control System ◽  
Active Control ◽  
Interior Noise ◽  
Active Control System

513 Study on Wavelet Active Control System for Ship Interior Noise

2015 ◽  
Vol 2015.53 (0) ◽  
pp. _513-1_-_513-2_
Author(s):  
Katsuya KIDA ◽  
Shunsuke ISHIMITSU
Keyword(s):  
Control System ◽  
Active Control ◽  
Interior Noise ◽  
Active Control System

Plane Wave Resonance in the Tire Air Cavity as a Vehicle Interior Noise Source

1995 ◽  
Vol 23 (1) ◽  
pp. 2-10 ◽  
Author(s):  
J. K. Thompson
Keyword(s):  
Closed Form Solution ◽  
Form Solution ◽  
Interior Noise ◽  
Cavity Resonance ◽  
Test Results ◽  
Vehicle Interior ◽  
Air Cavity ◽  
Vehicle Interior Noise ◽  
Wave Resonance ◽  
Resonance Frequencies

Abstract Vehicle interior noise is the result of numerous sources of excitation. One source involving tire pavement interaction is the tire air cavity resonance and the forcing it provides to the vehicle spindle: This paper applies fundamental principles combined with experimental verification to describe the tire cavity resonance. A closed form solution is developed to predict the resonance frequencies from geometric data. Tire test results are used to examine the accuracy of predictions of undeflected and deflected tire resonances. Errors in predicted and actual frequencies are shown to be less than 2%. The nature of the forcing this resonance as it applies to the vehicle spindle is also examined.

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