lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Performance  Evaluation of Control Algorithms Implemented on a Remotely Controlled Active Noise Control Laboratory
Blekinge Institute of Technology.
Blekinge Institute of Technology.
Blekinge Institute of Technology.
Show others and affiliations
2013 (English)In: 20th International Congress on Sound and Vibration 2013 (ICSV 20), Curran Associates, Inc., 2013Conference paper (Other academic)
Abstract [en]

The remotely controlled laboratory setup for Active Noise Control (ANC) developed by Blekin-ge Institute of Technology, Sweden provides an efficient learning platform for the students to implement and learn ANC algorithms with real world physical system, hardware and signals. The initial laboratory prototype based on a Digital Signal Processor (DSP) TMS320C6713 from Texas Instruments (TI) was successfully tested with Filtered-x Least Mean Square (F-XLMS) algorithm applied to control noise in a ventilation duct. The resources of the DSP platform used in the remote laboratory setup enable testing and investigating substantially more challenging and computationally demanding algorithms. In this paper, we expand the horizon of the laboratory setup by testing more advanced and complicated single channel feed forward ANC algorithms. Filtered-x versions of algorithms such as the normalized least mean square (N-LMS), leaky least mean square (L-LMS), Filtered-U recursive least mean square (FURLMS) and recursive least square (RLS) algorithm etc. have been implemented utilizing the remote web based client provided in the remote laboratory. A comprehensive performance comparison of the aforementioned algorithms for the remote laboratory setup is presented to demonstrate the viability of the remote laboratory.

Place, publisher, year, edition, pages
Curran Associates, Inc., 2013.
National Category
Signal Processing
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-61835ISBN: 9781629931500 (print)OAI: oai:DiVA.org:lnu-61835DiVA: diva2:1084858
Conference
ICSV20 - The Twentieth International Congress on Sound and Vibration, Bangkok, Thailand, July 07-11, 2013.
Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-03-29Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Håkansson, Lars
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

Total: 28 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf