Return to search

Optimal control algorithm design for a prototype of active noise control system

High-level noise can represent a serious risk for the health, industrial operations often
represent continuous exposure to noise, thus an important trouble to handle.
An alternative of solution can be the use of passive mechanisms of noise reductions,
nonetheless its application cannot diminish low-frequency noise.
Active Noise Control (ANC) is the solution used for low-frequency noise, ANC systems
work according to the superposition principle generating a secondary anti-noise
signal to reduce both.
Nevertheless, the generation of an anti-noise signal with same oppose characteristics
of the original noise signal presupposes the utilization of special techniques such
as adaptive algorithms. These algorithms involve computational costs.
The present research present the optimization of a specific ANC algorithm in the
step-size criteria. Delayed Filtered-x LMS (FxLMS) algorithm using an optimal
step-size is evaluated in a prototype of ANC system. / Tesis

Identiferoai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:123456789/8499
Date28 April 2017
CreatorsManzano Ramos, Edgar André
ContributorsTafur Sotelo, Julio César, Calderón Chavarri, Jesús Alan
PublisherPontificia Universidad Católica del Perú
Source SetsPontificia Universidad Católica del Perú
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Formatapplication/pdf
SourcePontificia Universidad Católica del Perú, Repositorio de Tesis - PUCP
Rightsinfo:eu-repo/semantics/openAccess, Atribución-NoComercial-SinDerivadas 2.5 Perú, http://creativecommons.org/licenses/by-nc-nd/2.5/pe/

Page generated in 0.0702 seconds