Algebraic methods for nonlinear systems: Parameter identification and state estimation

John Chiasson, Kaiyu Wang, Mengwei Li, Marc Bodson, Leon M. Tolbert

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

Algebraic methods are presented for solving nonlinear least-squares type problems that arise in the parameter identification of nonlinear systems. The tracking of the induction motor rotor time constant is solved in detail. Also, an approach to estimating state variables using algebraic relationships (in contrast to dynamic observers) is discussed in the context of speed estimation for induction motors.

Original languageEnglish
Title of host publicationSystems and Control
Subtitle of host publicationFoundations and Applications
Pages59-78
Number of pages20
Edition9780817643836
DOIs
StatePublished - 2006

Publication series

NameSystems and Control: Foundations and Applications
Number9780817643836
ISSN (Print)2324-9749
ISSN (Electronic)2324-9757

Keywords

  • Algebraic method
  • Direct torque control
  • Discrete fourier transform
  • Induction machine
  • Induction motor

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