IMPEDANCE CHARACTERISTICS OF ACTIVE INTERIOR NOISE CONTROL SYSTEMS

1998 ◽  
Vol 211 (4) ◽  
pp. 716-727 ◽  
Author(s):  
V. Jayachandran ◽  
J.Q. Sun
Author(s):  
M K Ling

Multi-layered noise control systems are widely used in production vehicles to reduce interior noise levels. Traditionally, these systems had fibrous felt cores but increasingly moulded polyurethane (PUR) foam-backed carpets are now used. They provide the manufacturer with a single unit moulded car carpet, enabling easy and cheaper installation. However, little information has been published on their performance characteristics or their design optimization. This paper reports on work that examines the optimization of composite performance of these composites. A design model is developed which allows performance to be assessed before expensive road trials are carried out.


2019 ◽  
Vol 67 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Ningning Liu ◽  
Yuedong Sun ◽  
Yansong Wang ◽  
Hui Guo ◽  
Bin Gao ◽  
...  

Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.


2018 ◽  
Vol 19 (2) ◽  
pp. 246-259 ◽  
Author(s):  
Muhammad Asif Zahoor Raja ◽  
Muhammad Saeed Aslam ◽  
Naveed Ishtiaq Chaudhary ◽  
Wasim Ullah Khan

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