On-Line Tuning of a Neural PID Controller Based on Variable Structure RBF Network

  • Jianchuan Yin
  • Gexin Bi
  • Fang Dong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5552)

Abstract

This paper presents the use of a variable structure radial basis function (RBF) network for identification in PID control scheme. The parameters of PID control are on-line tuned by a sequential learning RBF network, whose hidden units and connecting parameters are adapted on-line. The RBF-network-based PID controller simplifies modeling procedure by learning input-output samples while keep the advantages of traditional PID controller simultaneously. Simulation results of ship course control simulation demonstrate the applicability and effectiveness of the intelligent PID control strategy.

Keywords

Radial basis function network Variable structure PID control 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jianchuan Yin
    • 1
  • Gexin Bi
    • 1
  • Fang Dong
    • 1
  1. 1.College of NavigationDalian Maritime UniversityDalianChina

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