Robust observer-based stabilization and tracking of uncertain linear systems with L2-gain performance: Application to DC motors

Salim Ibrir, Adeel Sabir

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

2 Scopus citations

Abstract

New linear-matrix-inequality-based results on observer-based controller design for stabilization and trajectory tracking of uncertain linear systems subject to polytopic uncertainties and exogenous disturbances are presented. The observer dynamics along with the stabilizing feedback are designed using convex optimization technique with a prescribed L2-gain performance. The solution of the original non-convex optimization problem is transformed into the solutions of a set of linear matrix inequalities (LMIs) without introducing equality constraints or iterative search. The effectiveness of the proposed results is demonstrated by position control of a DC motor under parametric uncertainties and load torque disturbance.

Original languageEnglish
Title of host publication2016 IEEE International Energy Conference, ENERGYCON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467384636
DOIs
StatePublished - 14 Jul 2016

Publication series

Name2016 IEEE International Energy Conference, ENERGYCON 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Convex optimization
  • DC motors
  • Observers
  • Tracking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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