Analysis of online active noise control strategies by hybrid algorithm

Jesus A. Calderon; Julio Tafur; Benjamin Barriga; Edgar Manzano

doi:10.1109/ICIEA.2016.7603561

Analysis of online active noise control strategies by hybrid algorithm

Jesus A. Calderon, Julio Tafur, Benjamin Barriga, Edgar Manzano

Sección de Ingeniería Mecánica

Pontifical Catholic Univ. of Peru

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Engines operations usually produce intense noise and may cause hearing injuries. Therefore, passive absorbers are being used to reduce or eliminate unwanted noise. However, this mechanism is connected with high costs and space requirements. Active Noise Control (ANC) allows to eliminate mentioned drawbacks and therefore offers a better solution. ANC can be designed by feedback, feedforward or hybrid algorithm. Hybrid algorithm has an average settling time, but allows a good response in presence of disturbances. In this paper a fair noise reduction is shown for the use case where an identification process is being made inside of the main hybrid control algorithm loop (online).

Original language	English
Title of host publication	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	113-118
Number of pages	6
ISBN (Electronic)	9781509026050
DOIs	https://doi.org/10.1109/ICIEA.2016.7603561
State	Published - 19 Oct 2016
Event	11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 - Hefei, China Duration: 5 Jun 2016 → 7 Jun 2016

Publication series

Name	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

Conference

Conference	11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
Country/Territory	China
City	Hefei
Period	5/06/16 → 7/06/16

Keywords

Active Noise Control
Filter X Least Mean Square
online Hybrid Algorithm

Access to Document

10.1109/ICIEA.2016.7603561

Cite this

Calderon, J. A., Tafur, J., Barriga, B., & Manzano, E. (2016). Analysis of online active noise control strategies by hybrid algorithm. In Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 (pp. 113-118). Article 7603561 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2016.7603561

Calderon, Jesus A. ; Tafur, Julio ; Barriga, Benjamin et al. / Analysis of online active noise control strategies by hybrid algorithm. Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 113-118 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).

@inproceedings{f1e179037efb4957a1666009c3abdcc8,

title = "Analysis of online active noise control strategies by hybrid algorithm",

abstract = "Engines operations usually produce intense noise and may cause hearing injuries. Therefore, passive absorbers are being used to reduce or eliminate unwanted noise. However, this mechanism is connected with high costs and space requirements. Active Noise Control (ANC) allows to eliminate mentioned drawbacks and therefore offers a better solution. ANC can be designed by feedback, feedforward or hybrid algorithm. Hybrid algorithm has an average settling time, but allows a good response in presence of disturbances. In this paper a fair noise reduction is shown for the use case where an identification process is being made inside of the main hybrid control algorithm loop (online).",

keywords = "Active Noise Control, Filter X Least Mean Square, online Hybrid Algorithm",

author = "Calderon, {Jesus A.} and Julio Tafur and Benjamin Barriga and Edgar Manzano",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 ; Conference date: 05-06-2016 Through 07-06-2016",

year = "2016",

month = oct,

day = "19",

doi = "10.1109/ICIEA.2016.7603561",

language = "English",

series = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "113--118",

booktitle = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",

}

Calderon, JA, Tafur, J, Barriga, B & Manzano, E 2016, Analysis of online active noise control strategies by hybrid algorithm. in Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016., 7603561, Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, Institute of Electrical and Electronics Engineers Inc., pp. 113-118, 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016, Hefei, China, 5/06/16. https://doi.org/10.1109/ICIEA.2016.7603561

Analysis of online active noise control strategies by hybrid algorithm. / Calderon, Jesus A.; Tafur, Julio; Barriga, Benjamin et al.
Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 113-118 7603561 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of online active noise control strategies by hybrid algorithm

AU - Calderon, Jesus A.

AU - Tafur, Julio

AU - Barriga, Benjamin

AU - Manzano, Edgar

PY - 2016/10/19

Y1 - 2016/10/19

N2 - Engines operations usually produce intense noise and may cause hearing injuries. Therefore, passive absorbers are being used to reduce or eliminate unwanted noise. However, this mechanism is connected with high costs and space requirements. Active Noise Control (ANC) allows to eliminate mentioned drawbacks and therefore offers a better solution. ANC can be designed by feedback, feedforward or hybrid algorithm. Hybrid algorithm has an average settling time, but allows a good response in presence of disturbances. In this paper a fair noise reduction is shown for the use case where an identification process is being made inside of the main hybrid control algorithm loop (online).

AB - Engines operations usually produce intense noise and may cause hearing injuries. Therefore, passive absorbers are being used to reduce or eliminate unwanted noise. However, this mechanism is connected with high costs and space requirements. Active Noise Control (ANC) allows to eliminate mentioned drawbacks and therefore offers a better solution. ANC can be designed by feedback, feedforward or hybrid algorithm. Hybrid algorithm has an average settling time, but allows a good response in presence of disturbances. In this paper a fair noise reduction is shown for the use case where an identification process is being made inside of the main hybrid control algorithm loop (online).

KW - Active Noise Control

KW - Filter X Least Mean Square

KW - online Hybrid Algorithm

UR - http://www.scopus.com/inward/record.url?scp=84997284774&partnerID=8YFLogxK

U2 - 10.1109/ICIEA.2016.7603561

DO - 10.1109/ICIEA.2016.7603561

M3 - Conference contribution

AN - SCOPUS:84997284774

T3 - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

SP - 113

EP - 118

BT - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016

Y2 - 5 June 2016 through 7 June 2016

ER -

Calderon JA, Tafur J, Barriga B, Manzano E. Analysis of online active noise control strategies by hybrid algorithm. In Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 113-118. 7603561. (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016). doi: 10.1109/ICIEA.2016.7603561

Analysis of online active noise control strategies by hybrid algorithm

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this