Optimized decentralized adaptive control of noise and vibration for periodic disturbances

Fengyan An, Yin Cao, Bilong Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Decentralized control has great potential to facilitate the implementations of multichannel active noise/vibration control systems. The main drawback, however, is its inherent risk of system instability. In this letter an optimized decentralized adaptive control algorithm subject to periodic disturbances is reported. The algorithm employs the scheme of a decentralized filtered-x least mean square algorithm and utilizes optimized reference filters so that the stability of the control system can be ensured. Simulation results based on a realistic vibration isolation system demonstrate that both the stability and the convergent speed could be significantly improved.

Original languageEnglish
Article number144
JournalJournal of the Acoustical Society of America
Volume144
Issue number4
DOIs
Publication statusPublished - 1 Oct 2018
Externally publishedYes

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