自动化学报2016，Vol.42Issue(9)：1432-1439,8.DOI:10.16383/j.aas.2016.c150433
基于总体平均经验模态分解的主动噪声控制系统研究
A New ANC System Based on Ensemble Empirical Mode Decomposition
摘要
Abstract
In order to obtain a better de-noising performance of mixture noise containing both wideband components and nar-rowband components, a new active noise control (ANC) system based on ensemble empirical mode decomposition (EEMD) is proposed in this paper. Real-time EEMD algorithm is used to decompose the mixture noise into several intrinsic mode func-tions (IMF) which have a different frequency range each other, so this decomposition can separate wideband components and nar-rowband components from the mixture noise adaptively. Each component controlled independently can not only process mix-ture noise without “firework”, but also avoid the frequency mismatch occurring in conventional hybrid ANC (HANC) sys-tem. The EEMD algorithm can smooth the mixture noise to make sure the proposed system has better stability when non-stationary phenomenon happens in mixture noise. Compared with HANC system, the proposed ANC system has better sys-tem stability and smaller steady-state error in processing differ-ent noise.关键词
混合噪声/主动噪声控制/总体平均经验模态分解/固有模态函数/非平稳变化Key words
Mixture noise/active noise control (ANC)/en-semble empirical mode decomposition (EEMD)/intrinsic mode function/non-stationary change引用本文复制引用
罗磊,黄博妍,孙金玮,温良..基于总体平均经验模态分解的主动噪声控制系统研究[J].自动化学报,2016,42(9):1432-1439,8.基金项目
国家自然科学基金(61171183,61471140),2012航天支撑基金(01320214),哈尔滨工业大学科研创新基金(HIT.NSRIF201614)资助Supported by National Natural Science Foundation of China (61171183,61471140),2012 Aerospace Support Fund (01320214), Natural Scientific Research Innovation Foundation in Harbin Insti-tute of Technology (HIT.NSRIF201614) （61171183,61471140）
