Flatness-based adaptive fuzzy output tracking excitation control for power system generators

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Abstract

In this paper, a novel approach for the design of an indirect adaptive fuzzy output tracking excitation control of power system generators is proposed. The method is developed based on the concept of differentially flat systems through which the nonlinear system can be written in canonical form. The flatness-based adaptive fuzzy control methodology is used to design the excitation control signal of a single machine power system in order to track a reference trajectory for the generator angle. The considered power system can be written in the canonical form and the resulting excitation control signal is shown to be nonlinear. In case of unknown power system parameters due to abnormalities, the nonlinear functions appearing in the control signal are approximated using adaptive fuzzy systems. Simulation results show that the proposed controller can enhance the transient stability of the power system under a three-phase to ground fault occurring near the generator terminals.

Original languageEnglish
Pages (from-to)2334-2353
Number of pages20
JournalJournal of the Franklin Institute
Volume350
Issue number8
DOIs
Publication statusPublished - Oct 2013

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Applied Mathematics
  • Signal Processing

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