Extending a Combination of Map-based and Adaptive Feedforward Control Algorithms for Active Noise Cancellation

Dominik Schubert, Felix Garner, Simon Hecker, Stefan Sentpali, Martin Buss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In order to reduce tonal orders of a combustion engine with electrical drives as acoustical actuators, a parallel control structure for active noise cancellation (ANC) applications is used. It consists of map-based and adaptive feedforward control algorithms to reduce the convergence time and improve the tracking behavior during fast changes of the disturbing motor order. This paper describes two extensions of the parallel control structure. First, a method to improve the noise reduction during the adaption process is proposed. Second, a method is described to constrain the filter weights of the parallel control structure to avoid nonlinear distortions due to output constraints.

Original languageEnglish
Title of host publicationCCTA 2019 - 3rd IEEE Conference on Control Technology and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages661-666
Number of pages6
ISBN (Electronic)9781728127675
DOIs
StatePublished - Aug 2019
Event3rd IEEE Conference on Control Technology and Applications, CCTA 2019 - Hong Kong, China
Duration: 19 Aug 201921 Aug 2019

Publication series

NameCCTA 2019 - 3rd IEEE Conference on Control Technology and Applications

Conference

Conference3rd IEEE Conference on Control Technology and Applications, CCTA 2019
Country/TerritoryChina
CityHong Kong
Period19/08/1921/08/19

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