A reduced-order model for speed regulation of induction machines

  • Adeel Sabir
  • , Salim Ibrir

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

3 Scopus citations

Abstract

Designing a control system for an induction motor (IM) is a generally twofold task: (1) controller synthesis and, (2) assessment of its stability. When using the full fifth order dq-frame model, with incomplete state information and unknown disturbances, the controller design and the proof of stability are not trivial tasks. In this paper, we propose a speed controller for the IM using a reduced-order model assuming that the currents and the speed are measured. The unknown flux and the load torque are estimated using asymptotic observers. The closed-loop stability of the composite observer-controller system is established using Lyapunov's theory. The new approach provides good performances while reducing the complexity of the analysis and control.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1741-1746
Number of pages6
ISBN (Electronic)9781538611272
DOIs
StatePublished - 15 Dec 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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