Design of a Recurrent Functional Neural Fuzzy Controller for Dynamic System Control

Author

Lin, Cheng-Jian ; Chung, Han ; Lee, Chi-Yung

Author_Institution

Dept. of CSIE, Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan

Volume

2

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

191

Lastpage

195

Abstract

This study presents an recurrent functional neural fuzzy controller (RFNFC) for dynamic system control. The proposed RFNFC model has feedback connections added in the membership function layer that can used to memorize past information. A hardware-in-the loop (HIL) control technique is developed and applied to the designed RFNFC. The proposed RFNFC is used in the practical applications - the planetary train type inverted pendulum system. The experimentation is developed in a real-time visual simulation (VisSim) environment. Experimental results of this study have demonstrated the effectiveness of the proposed RFNFC for solving the dynamic system control problem.

Keywords

control system synthesis; fuzzy control; neurocontrollers; nonlinear control systems; real-time systems; design; dynamic system control; hardware-in-the loop control; inverted pendulum system; real-time visual simulation; recurrent functional neural fuzzy controller; Neural fuzzy networks; control; planetary train type inverted pendulum; recurrent networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2010 International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-8094-4

Type

conf

DOI

10.1109/ISCID.2010.138

Filename

5692767