噪声与振动控制2017，Vol.37Issue(6)：23-28,60,7.DOI:10.3969/j.issn.1006-1355.2017.06.005
自适应主动振动控制仿真分析
Simulation Analysis of Adaptive Active Vibration Control
摘要
Abstract
In FxLMS adaptive algorithm, secondary path can affect the diagonality of the filtered self-correlation matrix and the divergence of the eigenvalues, causing a slower convergence for the algorithm. In this paper, an improved FxLMS algorithm——SOFxLMS algorithm is proposed to reduce the influence of the secondary path and increase the convergence speed in active vibration control. The active vibration control simulation models based on the plain FxLMS algorithm and SOFxLMS algorithm are set up respectively in Simulink. On the promise of ensuring the stability of the system, the two kinds of algorithms are compared by simulation analysis under the same circumstances. The results show that the SOFxLMS algorithm has better control effect than that of FxLMS algorithm under the conditions of lower order filter and larger iteration step size.关键词
振动与波/自适应算法/主动振动控制/Simulink仿真/次级通道Key words
vibration and wave/adaptive algorithm/active vibration control/Simulink simulation/secondary path分类
通用工业技术引用本文复制引用
孙文豪,张锋,罗顺安,汪涵..自适应主动振动控制仿真分析[J].噪声与振动控制,2017,37(6):23-28,60,7.基金项目
国家自然科学基金资助项目(51405169) （51405169）
福建省自然科学基金资助项目(2015J01636) （2015J01636）
