Active Sound Quality Control (ASQC) method provides a new perspective for the subjective feeling satisfaction of the passengers during the vehicle interior noise control. While the existing ANC and AVC methods focus on noise or vibration control, the impact of vibration control on noise control is rarely considered. Therefore, in this chapter, the ASQC and the AVC methods are combined to design hybrid active vibro-acoustic control methods for the SQC of the vehicle interior noise. Based on the vibration-acoustic transfer function, a Hybrid Vibro-Acoustic algorithm combined with Filter-u and Filter-x Least Mean Square (HVA-FuxLMS) is proposed. Considering the error in the calculation of radiated noise, a Hybrid Vibro-Acoustic Delay-time Least Mean Square (HVA-DeLMS) algorithm is carried out. A sound retention factor is introduced for SQC, and a Hybrid Vibro-Acoustic Adaptive Noise Equalizer (HVA-ANE) algorithm is proposed based on the ANE algorithm. Then, the Empirical Mode Decomposition (EMD) method and the frequency-domain block method are presented to design a HVA-EMD frequency-domain Block Adaptive Noise Equalizer (HVA-EB-ANE) algorithm. Furthermore, a Hybrid Vibro-Acoustic EMD frequency-domain Block Filter-error Least Mean Square (HVA-EB-FeLMS) algorithm is put forward. Simulations of HVA-ANE and HVA-EB-FeLMS algorithms are performed for three psychoacoustic indicators of loudness, roughness and sharpness. The algorithms can effectively improve the vehicle interior SQ, and provides theoretical and application value for the active control of vehicle noise.
Active Vibro-Acoustic Control of Sound Quality
Vehicle Interior Sound Quality ; Chapter : 7 ; 185-231
2022-09-08
47 pages
Article/Chapter (Book)
Electronic Resource
English
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