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Four-Channel Active Noise Control Modeling and Offline Simulation for Electric Bus Sound Quality Based on Two FxLMS Algorithms

  • ACOUSTIC ECOLOGY. NOISES AND VIBRATIONS
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Abstract

Aiming at the consensus problem of slow convergence for the active noise control (ANC) model based on standard FxLMS algorithm that leads to performance degradation, this paper takes the error signal and its variation as the inputs of fuzzy logic control, and proposes an improved FxLMS algorithm by fuzzy control mechanism with two-input-two-output TSK fuzzy rules (TSK-FxLMS); In addition, the four-channel ANC models based on standard FxLMS and TSK-FxLMS are constructed using the noise signals from four measuring points inside an electric bus under uniform and variable speed conditions, respectively. Ultimately, the offline simulation and acoustic parameter calculation results indicate that the A-weighted sound pressure level (ASPL) and loudness of the two FxLMS models within the low and middle frequencies are significantly reduced, whereas the TSK-FxLMS model has faster convergence rate, higher average reduction percentage of ASPL and loudness, which proves that the established four-channel TSK-FxLMS model has a better sound quality improvement effect than the standard FxLMS.

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Funding

The work was supported by National Natural Science Foundation of China (12004136), Natural Science Foundation of Fujian Province (2023J011438), Major Educational Research Project of Fujian Province (FBJY20230154), the Key Research and Industrialization Project of Technological Innovation in Fujian Province (2023G013) and Science and Technology Project for High-level Talents of XMUT (YKJ22017R).

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Authors and Affiliations

  1. School of Mechanical and Automotive Engineering, Xiamen University of Technology, 361024, Xiamen, China

    E. L. Zhang, Z. L. Peng & Z. J. Li

  2. Xiamen Key Laboratory of Robot Systems and Digital Manufacturing, 361024, Xiamen, China

    E. L. Zhang

  3. Chengyi University College, Jimei University, 361021, Xiamen, China

    E. L. Zhang

  4. Bus Engineering Research Institute, Xiamen King Long United Automotive Industry Co., Ltd, 361023, Xiamen, China

    Y. B. Lin & J. M. Zhuo

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  1. E. L. Zhang
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Correspondence to E. L. Zhang.

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Zhang, E.L., Peng, Z.L., Li, Z.J. et al. Four-Channel Active Noise Control Modeling and Offline Simulation for Electric Bus Sound Quality Based on Two FxLMS Algorithms. Acoust. Phys. 70, 143–152 (2024). https://doi.org/10.1134/S1063771022600450

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  • DOI: https://doi.org/10.1134/S1063771022600450

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