Least squares estimation of dynamic system parameters using LabVIEW

Jonathan G. Turner, Biswanath Samanta

Research output: Contribution to book or proceedingConference articlepeer-review

3 Scopus citations

Abstract

A precursor to control system design is the development of a mathematical model describing the behavior of a system to be controlled. This paper presents the utilization of a least squares technique to determine parameters of a system model using LabVIEW. The effect of noise on accurate determination of the system model parameters is discussed along with the method used to filter noise from the data. The procedure is illustrated using the dynamics of a DC motor. The simulated response of the identified system model is compared with the measured response of the physical plant to validate the identification process.

Original languageEnglish
Title of host publication2012 Proceedings of IEEE SoutheastCon, SOUTHEASTCON 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781467313742
DOIs
StatePublished - 2012
Event2012 IEEE SoutheastCon, SOUTHEASTCON 2012 - Orlando, FL, United States
Duration: Mar 15 2012Mar 18 2012

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

Conference2012 IEEE SoutheastCon, SOUTHEASTCON 2012
Country/TerritoryUnited States
CityOrlando, FL
Period03/15/1203/18/12

Scopus Subject Areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Networks and Communications

Keywords

  • least squares curve fitting
  • noise filtering
  • on-line estimation
  • system identification

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