Vehicle Engine Noise Cancellation Based on a Multi-Channel Fractional-Order Active Noise Control Algorithm

• Published in: Machines (Basel) Vol. 10; no. 8; p. 670
• Main Authors: Li, Tao, Wang, Minqi, He, Yuyao, Wang, Ning, Yang, Jun, Ding, Rongjun, Zhao, Kaihui
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2022
• Subjects: Acoustic properties; Active noise control; Adaptive control; Algorithms; Calculus; Cancellation; Control algorithms; Control theory; Digital signal processors; Engine noise; fractional-order calculus; LF noise; Methods; Motor vehicles; multi-channel; Noise control; Noise reduction; Parameter estimation; R&D; Research & development; Signal processing; Sound pressure; variable step size; vehicle noise; Vehicle spacing; China
• ISSN: 2075-1702; 2075-1702
• DOI: 10.3390/machines10080670

For the problem of low-frequency noise suppression in a large area of the vehicle space, this paper proposes a novel multi-channel fractional-order active noise control algorithm and tests its ability for vehicle engine noise cancellation. The algorithm uses fractional-order calculus to replace the integer-order gradient descent to update the weighting coefficients of the filter, thereby avoiding imbalance or over-tuning phenomena during adaptive active noise cancellation and improving the control accuracy of the algorithm. A computer simulation was conducted in the noise cancellation scene of the vehicle, which showed that the algorithm is capable of suppressing single- and mixed-frequency noises, reducing the average sound pressure by approximately 20 dB. The experimental results demonstrated that the algorithm can effectively reduce the peak sound pressure of low-frequency noise for a certain type of vehicle engine by approximately 10 dB, whereas the total sound pressure level is reduced by approximately 4.7 dB.