Active noise control computer modeling is proposed to improve the noise reduction effect of the active noise control system. The transmission function of the adaptive control active noise reduction system is analyzed, first using the collected noise samples as the initial noise, performing a subjective assessment of the degree of fatigue, and then performing multiple linear regression experiments. Fatigue level data were used to obtain a noise-level sound quality model. Finally, the filter design is performed according to the fatigue score frequency response curve in the model. Based on this, the filter-error least mean square (FeLMS) algorithm is optimized and simulated on the computer. The simulation results show that filter-x least mean square (FxLMS) algorithm and A-FeLMS algorithm, after being controlled based on Y-FeLMS algorithm, the annoyance degree is reduced by 0.64 and 1.12 levels. Computer simulation and subjective evaluation experimental results show that the noise annoyance degree decreased significantly after the control. Compared with the traditional FxLMS algorithm, the FeLMS algorithm is more effective in improving the sound quality.
Cite this article as: H. Chen, G. Gupta and S. Hak Gupta, "An exhaustive study of computer simulation and modeling for active noise control," Electrica., 22(3), 373-379, 2022.