A hybrid feedforward/feedback multi-channel active control system with optimization for cancelling road noise inside a vehicle cabin

被引:15
作者
Zhang, Shuai [1 ]
Zhang, Lijun [1 ]
Meng, Dejian [1 ]
Zhang, Xiyu [1 ]
机构
[1] Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China
基金
中国国家自然科学基金;
关键词
Active road noise control; Electric vehicle; Multi-channel FxLMS algorithm; A-weighting error noise; Nondominated sorting genetic algorithm-II; Distributed system; PERFORMANCE; ALGORITHM;
D O I
10.1016/j.apacoust.2022.109128
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
A hybrid feedforward/feedback multi-channel system was developed for active road noise control (ARNC) inside a vehicle cabin. First, a centralized feedforward subsystem was present with a multi-channel normalized weighted error FxLMS algorithm, including a simplified reference signal normalization method, a reconstructed filter bank for filtering the reference signals, and a newly defined cost function of Aweighting error signals. Second, a distributed feedback subsystem was presented with multiple feedback single-channel simplified normalized FxLMS algorithms. By combining the two subsystems, a hybrid ARNC system was developed. Furthermore, data related to the ARNC system were collected from the test vehicle. Next, a nondominated sorting genetic algorithm-II was introduced to optimize the system parameter. Multi-objective optimization models of the feedforward and hybrid ARNC systems were established respectively, and the optimal Pareto solution sets for their parameters were obtained. Real-time experiments show that, when the test vehicle driving at 60 km/h on the small brick pavement, the developed hybrid ARNC system can achieve an overall noise reduction of 5.87 dBA in the time domain, and a peak noise reduction of 7.43 dBA in the frequency-domain. Compared with the feedforward ARNC system, road noise reduction is much improved. It still has a good noise reduction effect at other speeds and on different roads. (c) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:12
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