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Active Noise Control and Audio Entertainment

  • Thomas Kletschkowski
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 56)

Abstract

Active systems for noise reduction are especially of interest when considering applications in which low frequency noise is a main source of disturbance and only limited amounts of installation space and payload are available. This makes the adaptation and implementation of such systems plausible in vehicles such as automobiles and aircraft where passive reduction methods are restricted. Taking into account that both automobiles and aircraft are (usually) equipped with an audio entertainment system, it is self-evident to analyze an active control concept that uses the loudspeakers of the entertainment system as canceling sources driven by a combination of audio signal and control signal. As another example for the application of the proposed design methodology (compare Chap.  8) and the usage of the ANC-system design tools (discussed in Chap.  7), the upcoming chapter reports therefore on a project that was carried out to evaluate the feasibility of broadband ANC combined with in-flight entertainment in a very light jet aircraft cabin. Various problems in design, test and optimization such as optimal transducer placement and choice of adaptive control algorithm were taken into account as reported in (Sachau et al. in Audio Interior für Kleinflugzeuge (AIK). Final Report. Hamburg Aircraft Research Program (Lufo Hamburg 2), HH 107 B “AIK,” Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg, 2008b). The project was conducted at the Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg in cooperation with Innovint—Aircraft Interior GmbH. Financial support by the city of Hamburg is gratefully acknowledged.

Keywords

Audio Signal Interior Noise Noise Field Secondary Path Active Noise Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, MechatronicsHelmut-Schmidt-University/University of the Federal Armed Forces HamburgHamburgGermany

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