Active Noise control of commercial Vehicle Engine based on NALMS algorithm
Konferenz: MEMAT 2022 - 2nd International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology
07.01.2022 - 09.01.2022 in Guilin, China
Tagungsband: MEMAT 2022
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Tang, RongJiang; He, HongBin; Lin, Bo (College of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, Guangxi, China)
Wei, YongYou; Deng, JuCai; Shi, ChaoKun (Dongfeng Liuzhou Automobile Co., LTD. Commercial Vehicle Technology Center, Liuzhou, Guangxi, China)
Inhalt:
Aiming at the problem of high computational complexity and slow convergence of the multi-channel FxLMS algorithm, the NALMS algorithm is proposed based on the adjoint LMS algorithm. Theoretical deduction and algorithm complexity analysis show that the multi-channel NALMS algorithm has less computational complexity. Then, a two-channel engine noise control model is built in Simulink, and the actual vehicle data is simulated and analyzed. The simulation results show that the ANC system based on the NALMS algorithm has better order noise control performance. Finally, ADSP21489 was used as the controller to establish the actual vehicle dual-channel noise reduction system, and the noise reduction performance of the system based on the NALMS algorithm was verified through the actual vehicle fixed conditions and driving experiments.