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FXLMS with Multiple Error Switching for Active Noise-Cancelling Casings

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Passive noise reduction methods require thick and heavy barriers to be effective for low frequencies and those clasical ones are thus not suitable for reduction of low frequency noise generated by devices. Active noise-cancelling casings, where casing walls vibrations are actively controlled, are an interesting alternative that can provide much higher low-frequency noise reduction. Such systems, compared to classical ANC systems, can provide not only local, but also global noise reduction, which is highly expected for most applications. For effective control of casing vibrations a large number of actuators is required. Additionally, a high number of error sensors, usually microphones that measure noise emission from the device, is also required. All actuators have an effect on all error sensors, and the control system must take into account all paths, from each actuator to each error sensor. The Multiple Error FXLMS has very high computational requirements. To reduce it a Switched-Error FXLMS, where only one error signal is used at the given time, have been proposed. This, however, significantly reduces convergence rate. In this paper an algorithm that uses multiple errors at once, but not all, is proposed. The performance of various algorithm variants is compared using simulations with the models obtained from real active-noise cancelling casing.
Rocznik
Strony
775--782
Opis fizyczny
Bibliogr. 20 poz., fot., rys., tab., wykr.
Twórcy
  • Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44-100 Gliwice, Poland
  • Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44-100 Gliwice, Poland
  • Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44-100 Gliwice, Poland
  • Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44-100 Gliwice, Poland
  • Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44-100 Gliwice, Poland
Bibliografia
  • 1. Bismor D. (2014), Partial update LMS algorithms in active noise control, [in:] Proceedings of the Forum Acusticum 2014, Kraków.
  • 2. Bismor D. (2016), Simulations of partial update LMS algorithms in application to active noise control, Procedia Computer Science, 80, pp. 1180-1190, International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA.
  • 3. Bismor D., Czyz K., Ogonowski Z. (2016), Review and comparison of variable step-size LMS algorithms, International Journal of Acoustics and Vibration, 21, 1, 24-39, doi: 10.20855/ijav.2016.21.1392.
  • 4. Cinquemani S., Bassetti M., Resta F. (2018), Design and testing of a mechatronic device to actively self suppress vibration in structures, International Journal of Acoustics & Vibration, 23, 2, 124-130, doi: 10.20855/ijav.2018.23.21072.
  • 5. Elliott S. E., Stothers I. M., Nelson P. A. (1987), A multiple error LMS algorithm and its application to the active control of sound and vibration, IEEE Transations on Acoustics, Speech and Signal Processing, 35, 10, 1423-1434, doi: 10.1109/TASSP.1987.1165044.
  • 6. Fuller C., Mcloughlin M., Hildebrand S. (1994), Active acoustic transmission loss box, WO Patent App. PCT/US1992/008,401.
  • 7. Leniowska L. (2011), An adaptive vibration control procedure based on symbolic solution of Diophantine equation, Archives of Acoustics, 36, 4, 901-912.
  • 8. Leniowska L., Mazan D. (2015), MFC sensors and actuators in active vibration control of the circular plate, Archives of Acoustics, 40, 2, 257-265, doi: 10.1515/aoa-2015-0028.
  • 9. Lorente J., Ferrer M., de Diego M., Gonzalez A. (2014), GPU implementation of multichannel adaptive algorithms for local active noise control, Audio, Speech, and Language Processing, IEEE/ACM Transactions on, 22, 11, 1624-1635, doi: 10.1109/TASLP.2014.2344852.
  • 10. Mazur K., Pawelczyk M. (2015a), Active control of noise emitted from a device casing, [in:] Proceedings of the 22nd International Congress of Sound and Vibration, Florence, Italy.
  • 11. Mazur K., Pawelczyk M. (2015b), Multiple-error adaptive control of an active noise-reducing casing, [in:] Progress of Acoustics, pp. 701-712, Polish Acoustical Society, Wrocław.
  • 12. Mazur K., Pawelczyk M. (2016), Internal Model Control for a light-weight active noise-reducing casing, Archives of Acoustics, 41, 2, 315-322, doi: 10.1515/aoa-2016-0032.
  • 13. Mazur K., Wrona S., Pawelczyk M. (2018a), Design and implementation of multichannel global active structural acoustic control for a device casing, Mechanical Systems and Signal Processing, 98, 877-889, doi: 10.1016/j.ymssp.2017.05.025.
  • 14. Mazur K., Wrona S., Pawelczyk M. (2018b), Placement of microphones for an active noise-reducing casing, [in:] 25th International Congress on Sound and Vibration, ICSV25, Hiroshima, 8-12 July.
  • 15. Mazur K., Wrona S., Pawelczyk M. (2019), Active noise control for a washing machine, Applied Acoustics, 146, 89-95, doi: 10.1016/j.apacoust.2018.11.010.
  • 16. Michalczyk M., Wieczorek M. (2011), Parameterization of adaptive control algorithms for multichannel active noise control system, [in:] 58th Open Seminar on Acoustics joint with 2nd Polish-German Structured Conference on Acoustics, Jurata, Poland 13-16.09.2011, Vol. 2, pp. 73-78.
  • 17. Morzyński L., Szczepański G. (2018), Double panel structure for active control of noise transmission, Archives of Acoustics, 43, 4, 689-696, doi: 10.24425/aoa.2018.125162.
  • 18. Pietrzko S. J. (2009), Contributions to noise and vibration control technology, AGH – University of Science and Technology Press, Kraków.
  • 19. Sibielak M., Raczka W., Konieczny J., Kowal J. (2015), Optimal control based on a modified quadratic performance index for systems disturbed by sinusoidal signals, Mechanical Systems and Signal Processing, 64-65, 498-519, doi: 10.1016/j.ymssp.2015.03.031.
  • 20. Wyrwal J., Zawiski R., Pawelczyk M., Klamka J. (2017), Modelling of coupled vibro-acoustic interactions in an active casing for the purpose of control, Applied Mathematical Modelling, 50, 219-236, doi: 10.1016/j.apm.2017.05.002.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1d3be665-8a61-4e6a-945d-cceba07b27d8
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