Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation
This paper presents the derivation and simulation of the propagation paths of a feedforward active noise control (ANC) system in one dimensional free-field medium using state-space model (SSM) instead of Finite Impulse Response (FIR) model. Furthermore, a new observer namely State Space Least Mean...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
American-Eurasian Network for Scientific Information
2010
|
Online Access: | http://psasir.upm.edu.my/id/eprint/14037/1/Development%20of%20the%20propagation%20paths%20and%20deriving%20observer%20of%20feedforward%20active%20noise%20control%20system%20by%20using%20state.pdf http://psasir.upm.edu.my/id/eprint/14037/ http://ajbasweb.com/old/ajbas_August_2010.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Putra Malaysia |
Language: | English |
id |
my.upm.eprints.14037 |
---|---|
record_format |
eprints |
spelling |
my.upm.eprints.140372018-09-24T06:57:22Z http://psasir.upm.edu.my/id/eprint/14037/ Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation Muhssin, Mazin T. Raja Ahmad, Raja Mohd Kamil Marhaban, Mohammad Hamiruce Bafti, Payam Shafiei This paper presents the derivation and simulation of the propagation paths of a feedforward active noise control (ANC) system in one dimensional free-field medium using state-space model (SSM) instead of Finite Impulse Response (FIR) model. Furthermore, a new observer namely State Space Least Mean Square (SSLMS) observer will be derived. This observer will be used to estimate the states along the propagation path which can not be estimated using LMS algorithm because LMS based on the FIR models. The system is simulated in MATLAB and the results of the pressure modes along the noise path are depicted and have shown that the level of the acoustic signal decreases gradually against the modes. The results of the novel observer to show the comparison of the tracking the pressures of three modes along the interfering region between the primary and secondary path are shown with the mode which is located at the observer achieving accurate estimation. American-Eurasian Network for Scientific Information 2010-08 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14037/1/Development%20of%20the%20propagation%20paths%20and%20deriving%20observer%20of%20feedforward%20active%20noise%20control%20system%20by%20using%20state.pdf Muhssin, Mazin T. and Raja Ahmad, Raja Mohd Kamil and Marhaban, Mohammad Hamiruce and Bafti, Payam Shafiei (2010) Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation. Australian Journal of Basic and Applied Sciences, 4 (8). pp. 3770-3779. ISSN 1991-8178 http://ajbasweb.com/old/ajbas_August_2010.html |
institution |
Universiti Putra Malaysia |
building |
UPM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Putra Malaysia |
content_source |
UPM Institutional Repository |
url_provider |
http://psasir.upm.edu.my/ |
language |
English |
description |
This paper presents the derivation and simulation of the propagation paths of a feedforward active noise control (ANC) system in one dimensional free-field medium using state-space model (SSM) instead of Finite Impulse Response (FIR) model. Furthermore, a new observer namely State
Space Least Mean Square (SSLMS) observer will be derived. This observer will be used to estimate the states along the propagation path which can not be estimated using LMS algorithm because LMS based on the FIR models. The system is simulated in MATLAB and the results of the pressure modes
along the noise path are depicted and have shown that the level of the acoustic signal decreases gradually against the modes. The results of the novel observer to show the comparison of the tracking the pressures of three modes along the interfering region between the primary and secondary path are shown with the mode which is located at the observer achieving accurate estimation. |
format |
Article |
author |
Muhssin, Mazin T. Raja Ahmad, Raja Mohd Kamil Marhaban, Mohammad Hamiruce Bafti, Payam Shafiei |
spellingShingle |
Muhssin, Mazin T. Raja Ahmad, Raja Mohd Kamil Marhaban, Mohammad Hamiruce Bafti, Payam Shafiei Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation |
author_facet |
Muhssin, Mazin T. Raja Ahmad, Raja Mohd Kamil Marhaban, Mohammad Hamiruce Bafti, Payam Shafiei |
author_sort |
Muhssin, Mazin T. |
title |
Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation |
title_short |
Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation |
title_full |
Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation |
title_fullStr |
Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation |
title_full_unstemmed |
Development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation |
title_sort |
development of the propagation paths and deriving observer of feedforward active noise control system by using state-space formulation |
publisher |
American-Eurasian Network for Scientific Information |
publishDate |
2010 |
url |
http://psasir.upm.edu.my/id/eprint/14037/1/Development%20of%20the%20propagation%20paths%20and%20deriving%20observer%20of%20feedforward%20active%20noise%20control%20system%20by%20using%20state.pdf http://psasir.upm.edu.my/id/eprint/14037/ http://ajbasweb.com/old/ajbas_August_2010.html |
_version_ |
1643825511204388864 |