An adaptive control for AC servo system using recurrent fuzzy neural network

  • Authors:
  • Wei Sun;Yaonan Wang

  • Affiliations:
  • College of Electrical and Information Engineering, Hunan University, Changsha, P.R. China;College of Electrical and Information Engineering, Hunan University, Changsha, P.R. China

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
  • Year:
  • 2005

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Abstract

A kind of recurrent fuzzy neural network (RFNN) is constructed by using recurrent neural network (RNN) to realize fuzzy inference. In this kind of RFNN, temporal relations are embedded in the network by adding feedback connections on the first layer of the network. And a RFNN based adaptive control (RFNNBAC) is proposed, in which, two RFNN are used to identify and control plant respectively. Simulation experiments are made by applying proposed RFNNBAC on AC servo control problem to confirm its effectiveness.