Closed-loop identification of a nonlinear servomechanism: Theory and experiments

Rubén Garrido, Roger Miranda

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a new methodology for parameter identification of a class of nonlinear servomechanisms. The key element is a closed-loop identification technique where a Proportional Derivative controller stabilizes the servomechanism. Experiments using a laboratory prototype, allows comparing the proposed approach against a standard Least Squares algorithm. It is shown that the disturbances acting on the servomechanism do not significantly affect the parameter estimates obtained using the proposed approach.

Original languageEnglish
Title of host publicationAdvances in Computational Intelligence
PublisherSpringer Verlag
Pages463-471
Number of pages9
ISBN (Print)9783642031557
DOIs
StatePublished - 2009
Externally publishedYes
Event2nd International Workshop on Advanced Computational Intelligence, IWACI 2009 - Mexico City, Mexico
Duration: 22 Jun 200923 Jun 2009

Publication series

NameAdvances in Intelligent and Soft Computing
Volume61 AISC
ISSN (Print)1867-5662

Conference

Conference2nd International Workshop on Advanced Computational Intelligence, IWACI 2009
Country/TerritoryMexico
CityMexico City
Period22/06/0923/06/09

Keywords

  • Closed-loop identification
  • Nonlinear identification
  • Persistent excitation
  • Servomechanism

Fingerprint

Dive into the research topics of 'Closed-loop identification of a nonlinear servomechanism: Theory and experiments'. Together they form a unique fingerprint.

Cite this