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Real-time implementation of a robust active control algorithm for narrowband signals suppression

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Abstract

This study presents a practical active noise control (ANC) algorithm with robust stability for reducing the powertrain noise or vibration inside a car. It is important to ensure that a practical ANC system for a car is robustly stable to variations or uncertainties in the actual plant. After investigating the robust stability condition of the ANC algorithm, a robust plant model is designed by considering the multiplicative plant uncertainties within given bounds such as closing or opening door windows. The ANC algorithm was implemented in a dSPACE DS1401 as a control platform, and an error microphone and a subwoofer as a secondary source were positioned at the driver’s left ear and the trunk of the experimental car, respectively. The engine rpm information received from the controller area network of the car was used for the generation of relevant reference signals. The real-time control experiments were carried out against the plant perturbation when the engine was either idling or sweeping in the neutral mode. The results showed that the robust control algorithm can suppress the noise whether the actual plant was nominal or perturbed with the stability over the rpm.

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Acknowledgements

This work was supported by the Incheon National University Research Grant in 2014.

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Authors and Affiliations

  1. Incheon National University, Incheon, Republic of Korea

    Jeakwan Kim, Minho Lee & Young-Sup Lee

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  1. Jeakwan Kim
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  2. Minho Lee
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  3. Young-Sup Lee
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Correspondence to Young-Sup Lee.

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All Authors declares that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Communicated by M. Anisetti.

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Kim, J., Lee, M. & Lee, YS. Real-time implementation of a robust active control algorithm for narrowband signals suppression. Soft Comput 22, 1545–1554 (2018). https://doi.org/10.1007/s00500-017-2943-6

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