Robust observer-based fuzzy control for variable speed wind power system: LMI approach

Hwa Chang Sung, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

In this paper, the output-feedback control for stabilizing the uncertain nonlinear system is proposed. For achieving the robust stability, we deal with the parametric uncertainties of the concerned system which is based on the Takagi-Sugeno (T-S) fuzzy model. Also, we derive the observer-based models preserving the property and structure of the uncertainties. The sufficient conditions for output feedback stabilizing controller designs are given in terms of solutions to a set of linear matrix inequalities (LMIs). The simulation results for variable speed wind power (VSWP) system are demonstrated to visualize the feasibility of the proposed method.

Original languageEnglish
Pages (from-to)1103-1110
Number of pages8
JournalInternational Journal of Control, Automation and Systems
Volume9
Issue number6
DOIs
Publication statusPublished - 2011 Dec 1

Fingerprint

Fuzzy control
Linear matrix inequalities
Wind power
Feedback control
Nonlinear systems
Feedback
Controllers
Uncertainty
Robust stability

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications

Cite this

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Robust observer-based fuzzy control for variable speed wind power system : LMI approach. / Sung, Hwa Chang; Park, Jin Bae; Joo, Young Hoon.

In: International Journal of Control, Automation and Systems, Vol. 9, No. 6, 01.12.2011, p. 1103-1110.

Research output: Contribution to journalArticle

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