Active Interior Noise Control for Passenger Vehicle Using the Notch Dual-Channel Algorithms with Two Different Predictive Filters

Active control of low-frequency engine order noise helps to improve the passenger’s sense of hearing, so it has become one of the hot topics in the automotive field. Depth improvement of active noise control (ANC) performance from the perspective of novel algorithms has attracted the attention of researchers. The conventional notch dual-channel filtered-x least mean square (NDFxLMS) algorithm shows acceptable noise reduction for the elimination of engine order noise. To further enhance the steady-state ANC effect, this paper proposed two new notch algorithms: the notch dual-channel filtered-x recursive least square (NDFxRLS) algorithm and the notch dual-channel affine projection (NDAP) algorithm. Vehicle simulation tests show that both the proposed algorithms, especially the NDFxRLS algorithm, have a satisfying performance for the cancellation of interior noise from the engine. Compared with the conventional NDFxLMS algorithm, the order noise reduction based on the proposed algorithms is optimally increased by 14.4 dB(A). The results indicate that the proposed algorithms provide a valuable reference for the active control of engine noise.

• Record URL:
  • https://doi.org/10.4271/2020-01-5228
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Gu, Feihong
  • Chen, Shuming
  • Liang, Chao
  • Zhou, Zhengdao
  • Zhong, Chengping
• Conference:
  • Automotive Technical Papers
  • Location: Warrendale Pennsylvania
  • Date: 2021-1-1
• Publication Date: 2021-2-18

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Algorithms; Automobiles; Engines; Mathematical models; Noise; Noise control; Simulation; Vehicle interiors
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01774524
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2020-01-5228
• Files: TRIS, SAE
• Created Date: Jun 21 2021 12:17PM