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Neural Network based controller for nonlinear automatic generation control

  • S. Z. Rizvi
  • , M. S. Yousuf
  • , H. N. Al-Duwaish

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

Abstract

This paper presents an Artificial Neural Network (ANN) based controller design for nonlinear multivariable systems. The proposed method uses a novel algorithm for using and training a radial basis function (RBF) neural network based controller. The training algorithm makes sure that it does not violate any constraints on the inputs or outputs. Trajectory tracking results are presented for the challenging problem of nonlinear single area Automatic Generation Control (AGC) power system. Both linear and nonlinear cases are considered and robustness of the controller is tested as well.

Original languageEnglish
Title of host publicationICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation
Pages322-329
Number of pages8
StatePublished - 2010

Publication series

NameICFC 2010 ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation

Keywords

  • Artificial neural network controller
  • Automatic generation control
  • Load frequency control
  • Nonlinear control

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics

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