噪声与振动控制2018，Vol.38Issue(3)：15-19,5.DOI:10.3969/j.issn.1006-1355.2018.03.003
一种基于梯度下降的次级通道在线建模有源噪声控制算法
An Online Secondary Path Modeling Algorithm based on Gradient Descent for Active Noise Control
摘要
Abstract
Aim at the problems of the low modeling accuracy of the secondary path and the interference between modeling signal and control signal in the feedforward active noise control system, an online secondary path modeling algorithm based on gradient descent for active noise control is proposed. In the modeling process, the convergence factors in the active control process and the modeling process are adjusted successively according to the error energy ratio of the two processes to reduce the interference between the two processes. The gradient descent method is introduced to adjust the convergence factors in the modeling process. The detection threshold is set for the step size. When the step size reaches the threshold, the convergence factors will be adjusted according to the gradient descent. The simulation results show that the proposed algorithm can achieve a faster modeling convergence speed and lower steady-state error than the existing algorithms for the active control of mixed signals. And the proposed algorithm also improves the noise reduction of the active control systems.关键词
声学/有源噪声控制/能量比/梯度下降/收敛因子/次级通道在线建模Key words
acoustics/active noise control/energy ratio/gradient descent/convergence factors/online secondary path modeling分类
通用工业技术引用本文复制引用
张丽,陈卫松,崔婷玉,仝喜峰..一种基于梯度下降的次级通道在线建模有源噪声控制算法[J].噪声与振动控制,2018,38(3):15-19,5.基金项目
国家自然科学基金青年项目资助(61601005) （61601005）
安徽师范大学研究生科研创新与实践项目资助(2017cxsj04) （2017cxsj04）
