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<p>Hybrid vehicle interior noise is mainly a hybrid noise consisting of a broadband road noise component and a narrowband order frequency noise component. Multi-channel hybrid active noise control (MCHANC) systems are considered an effective solution. However, the conventional MCHANC system still has two difficulties in solving the interior hybrid noise. The first is that increasing the number of channels not only leads to a sharp rise in algorithmic computational complexity but also demands higher system control robustness. The second is that the traditional HANC algorithm cannot sufficiently resolve the coupled interference between broadband and narrowband noise signals, resulting in limited suppression capability for unsteady-state noise. To solve the above problems, this study proposes a novel multi-channel HANC-DWT-NREC algorithm. To reduce the computational complexity of the MCHANC system, the proposed HANC-DWT-NREC algorithm contains a broadband active noise control (BANC) subsystem based on a delayless subband algorithm structure for attenuating the broadband noise components, while enhancing system robustness through subband signal decomposition. A discrete wavelet transform optimised narrowband residual error signal cancellation (DWT-NREC) subsystem is introduced to eliminate the potential narrowband residual error signals in the BANC subsystem and to avoid the coupled interference of broadband and narrowband noise signals. In addition, to dynamically balance the steady-state error and convergence speed of the system, a step-size self-adjustment strategy is proposed to adjust the step size of the BANC subsystem by constructing a convergence evaluation function. Numerous simulations and real-vehicle test experiments are carried out under different operating conditions using a headrest system. Results demonstrate that the proposed multi-channel HANC-DWT-NREC algorithm outperforms other HANC algorithms, exhibiting superior noise reduction performance and robustness under both steady-state and unsteady-state noise conditions, while achieving equalised noise reduction at both ear positions.</p>

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A Novel Hybrid Active Noise Control System for Attenuating Multi-Channel Interior Broadband and Narrowband Hybrid Noise

  • 期刊论文

  • 发表日期：

    2026年4月2日

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  • Can Cheng,
  • Ting Hu,
  • Wan Chen,
  • Zhien Liu,
  • Xianming Sun,
  • Lipeng Wang

摘要

Hybrid vehicle interior noise is mainly a hybrid noise consisting of a broadband road noise component and a narrowband order frequency noise component. Multi-channel hybrid active noise control (MCHANC) systems are considered an effective solution. However, the conventional MCHANC system still has two difficulties in solving the interior hybrid noise. The first is that increasing the number of channels not only leads to a sharp rise in algorithmic computational complexity but also demands higher system control robustness. The second is that the traditional HANC algorithm cannot sufficiently resolve the coupled interference between broadband and narrowband noise signals, resulting in limited suppression capability for unsteady-state noise. To solve the above problems, this study proposes a novel multi-channel HANC-DWT-NREC algorithm. To reduce the computational complexity of the MCHANC system, the proposed HANC-DWT-NREC algorithm contains a broadband active noise control (BANC) subsystem based on a delayless subband algorithm structure for attenuating the broadband noise components, while enhancing system robustness through subband signal decomposition. A discrete wavelet transform optimised narrowband residual error signal cancellation (DWT-NREC) subsystem is introduced to eliminate the potential narrowband residual error signals in the BANC subsystem and to avoid the coupled interference of broadband and narrowband noise signals. In addition, to dynamically balance the steady-state error and convergence speed of the system, a step-size self-adjustment strategy is proposed to adjust the step size of the BANC subsystem by constructing a convergence evaluation function. Numerous simulations and real-vehicle test experiments are carried out under different operating conditions using a headrest system. Results demonstrate that the proposed multi-channel HANC-DWT-NREC algorithm outperforms other HANC algorithms, exhibiting superior noise reduction performance and robustness under both steady-state and unsteady-state noise conditions, while achieving equalised noise reduction at both ear positions.