Citation: | WU Xuechun, WANG Yansong, GUO Hui, ZHENG Lihui, HUANG Shuang. A survey of research on active control algorithms for vehicle interior sound quality[J]. Journal of Shanghai University of Engineering Science, 2022, 36(3): 231-237. doi: 10.12299/jsues.21-0239 |
With the improvement of the economic level and the development of automobile technology, the vehicle interior noise control is required to reduce the sound pressure level. In addition, it is necessary to improve the sound quality by adjusting the sound characteristics. In order to meet this goal, many studies have focused on sound quality control objectives, control system modeling, algorithm improvement, algorithmsimulation analysis and experimental verification. Among them, the sound quality active control algorithm is the core of the control system, and it is also the key of research. To further improve the effectiveness, real-time and adaptability of control algorithms, three types sound quality active control algorithms of active noise equalizer (ANE), filtered error least mean square (FELMS), and neural networks were reviewed in detail. The implementation principle, development, advantages and disadvantages of each algorithm were described in detail. At the same time, the existing problems and future development prospects of sound quality active control algorithms were prospected, which could provide a theoretical basis for researchers.
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