Title :
Research on ANE Algorithm for Sound Quality Control of Vehicle Interior Noise
Author :
Wang, Deng-feng ; Jiang, Ji-guang ; Liu, Zong-wei ; Cao, Xiao-lin
Author_Institution :
State Key Lab. of Automotive Dynamic, Jilin Univ., Changchun, China
Abstract :
To Improve the weakness of the traditional active noise control system was not able to optionally control different frequency band noises and was easy to be disturbed by random disturbance, this paper proposed an adaptive active sound quality control(AASQC) method which used the active noise equalization(ANE) theory and FELMS algorithm as a kernel. The AASQC method can effectively solve the problem of disturbance in transmission bands by introducing and adjusting gain coefficient to implement the controllable cancellation of noises. Under Matlab/Simulink software environment, the AASQC algorithm was compared with the traditional adaptive active noise control algorithm FXLMS. The simulation results showed that the AASQC algorithm described above was of good stability and robustness in active sound quality control, and sound quality could be improved remarkably.
Keywords :
active noise control; adaptive control; automotive engineering; least mean squares methods; quality control; AASQC method; ANE algorithm; FELMS algorithm; active noise control system; active noise equalization; adaptive active sound quality control; filtered-error least mean square algorithm; vehicle interior noise; Acoustic noise; Active noise reduction; Adaptive control; Control systems; Noise cancellation; Programmable control; Quality control; Software algorithms; Vehicles; Working environment noise; Active noise equalization (ANE); Adaptive active sound quality control(AASQC); FELMS; vehicle interior noise;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.211