Flexible nonlinear control technique with applications to power systems

Mark Gordon, David J. Hill

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

Abstract

This paper presents the so called Direct Feedback Linearization (DFL) technique as a simple and flexible method for nonlinear control design. The DFL avoids the complexity of the well known differential geometric method, instead it uses Implicit Function Theorem (IFT) to eliminate system nonlinearities. This allows more flexibility in the exact linearization steps. To consider the effect of plant parametric uncertainties, robust control theory is used to ensure the stability of the DFL compensated system. As an example application, four different robust nonlinear excitation controllers are designed and compared to enhance transient stability of power systems. The main advantage of the proposed technique is the possibility for a control engineer to choose the most appropriate performance enhancing nonlinear compensating controller based on availability of measurements or required simplicity in the feedback loop design.

Original languageEnglish
Title of host publicationPP and PSC 2009
Subtitle of host publication6th IFAC Symposium on Power Plants and Power Systems Control
PublisherElsevier
Pages167-172
Number of pages6
Volume42
Edition9
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventIFAC Symposium on Power Plants and Power Systems Control 2009 - Tampere, Finland
Duration: 6 Jul 20098 Jul 2009
Conference number: 6th
https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/42/issue/9 (Proceedings)

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherElsevier - International Federation of Automatic Control (IFAC)
ISSN (Print)1474-6670

Conference

ConferenceIFAC Symposium on Power Plants and Power Systems Control 2009
Abbreviated titlePP and PSC 2009
Country/TerritoryFinland
CityTampere
Period6/07/098/07/09
Internet address

Keywords

  • Excitation control
  • Feedback control methods
  • Feedback Linearization
  • Power system control

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