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

Authors:
Jianchuan Yin;Gexin Bi;Fang Dong
Affiliations:
College of Navigation, Dalian Maritime University, Dalian, China 116026;College of Navigation, Dalian Maritime University, Dalian, China 116026;College of Navigation, Dalian Maritime University, Dalian, China 116026
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Year:
2009

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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.