Reduced order neural block control for synchronous electric generator

V. H. Benitez*, E. N. Sanchez, A. G. Loukianov

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


In this paper, we present a novel identification and control scheme, which is able to identify and to control a synchronous generator using a neural identifier. The generator is modelled as a full (eight) order system. A third order neural network is used to identify a reduced order model of this generator. Moreover, a discontinuous control law based on the neural identifier is designed using the block control technique, in order to track reference signals and rejects external disturbances produced by generator terminal short circuits. Simulation results, using the full order model of the generator, are presented in order to test the applicability of the proposed approach.

Original languageEnglish
Pages (from-to)43-55
Number of pages13
JournalDynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms
Issue number1
StatePublished - Feb 2008
Externally publishedYes


  • Block control
  • Identification
  • Recurrent high order neural networks


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