Leaky partial updates to control a real device casing

• Autorzy: Bismor Dariusz

Identyfikatory

DOI

10.21008/j.0860-6897.2022.3.04

• Języki publikacji: EN

Abstrakty

EN

Structural active noise control (ANC) is one of few solutions applicable when global noise reduction is required: control of a whole device casing allows to lower the acoustic energy emitted by this device. Unfortunately, structural ANC usually requires a large number of sensors and actuators, making the control system multichannel with large dimensionality. This in turn presents a huge computational power demands. There are several ways to lower this demand, the partial updates being one of them. The goal of this paper is to show applicability of the leaky partial update LMS algorithms in structural ANC of a washing machine casing. The transfer functions of the numerous device paths were identified using a real washing machine in the ANC laboratory. The identified transfer functions allowed to create a simulation system, where different algorithms could be easily tested. The results of the simulations confirm effectiveness of the proposed solution.

Słowa kluczowe

EN

structural active noise control; partial updates; leaky LMS; signal processing

PL

strukturalna aktywna redukcja hałasu; aktualizacje częściowe; LMS z wyciekiem; przetwarzanie sygnałów

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2022
• Tom: Vol. 33, nr 3
• Strony: art. no. 2022304
• Opis fizyczny: Bibliogr. 11 poz., il. kolor., 1 fot., 1 rys., wykr.

Twórcy

autor

Bismor Dariusz

• Department of Measurements and Control Systems, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

• https://orcid.org/0000-0003-4758-3592

Bibliografia

• 1. D. Bismor; Comments on “A new feedforward hybrid ANC system”; IEEE Signal Processing Letters 2014 , 21(5), 635-637. DOI: 10.1109/LSP.2014.2310783
• 2. D. Bismor; Partial update LMS algorithms in active noise control; In Proceedings of Forum Acusticum 2014, Kraków, pages 1-7.
• 3. D. Bismor; Simulations of partial update LMS algorithms in application to active noise control. Procedia Computer Science 2016, 80, 1180-1190. International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA. DOI: 10.1016/j.procs.2016.05.451
• 4. D. Bismor; Leaky Partial Updates in Application to Structural Active Noise Control, in Postepy akustyki, E. Czajka, I. Suder-Dębska Eds.; Polskie Towarzystwo Akustyczne, Oddzial w Krakowie, Kraków, 2021, 44-53.
• 5. K. Doğançay; Partial-Update Adaptive Signal Processing. Design, Analysis and Implementation. Academic Press: Oxford, 2008.
• 6. K. Mazur, M. Pawelczyk; Active control of noise emitted from a device casing; Proceedings of the 22nd International Congress on Sound and Vibration, Florence, Italy, 2015.
• 7. K. Mazur, S. Wrona, M. Pawelczyk; Active noise control for a washing machine; Applied Acoustics 2019, 146, 89 - 95. DOI: 10.1016/j.apacoust.2018.11.010
• 8. K. Mazur, S. Wrona, M. Pawelczyk; Performance evaluation of active noise control for a real device casing; Applied Sciences 2020, 10(1). DOI: 10.3390/app10010377
• 9. S. Wrona, M. de Diego, and M. Pawelczyk; Shaping zones of quiet in a large enclosure generated by an active noise control system; Control Engineering Practice 2018, 80, 1-16. DOI: 10.1016/j.conengprac.2018.08.004
• 10. S. Wrona and M. Pawelczyk; Shaping frequency response of a vibrating plate for passive and active control applications by simultaneous optimization of arrangement of additional masses and ribs. Part ii: Optimization; Mechanical Systems and Signal Processing 2016, 70-71, 699-713. DOI: 10.1016/j.ymssp.2015.08.017
• 11. J. Wyrwal, M. Pawelczyk, L. Liu, Z. Rao; Double-panel active noise reducing casing with noise source enclosed inside — modelling and simulation study; Mechanical Systems and Signal Processing 2021, 152, 107371. DOI: 10.1016/j.ymssp.2020.107371

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).