Fuzzy adaptive internal model control

Author

Xie, Wen Fang ; Rad, A.B.

Author_Institution

Dept. of Electr. Eng., Hong Kong Polytech., Kowloon, Hong Kong

Volume

47

Issue

1

fYear

2000

fDate

2/1/2000 12:00:00 AM

Firstpage

193

Lastpage

202

Abstract

In this paper, a fuzzy adaptive internal model controller (FAIMC) for open-loop stable plants is presented. The control scheme consists of two parts: a fuzzy dynamic model and a model-based fuzzy controller. A fuzzy dynamic model, which serves as the internal model of the FAIMC is identified online by using the input and output measurement of the plant. Based on the identified fuzzy model, the fuzzy controller is designed to minimize an H₂ performance objective. This FAIMC scheme has been successfully applied to control the flow rate in a laboratory-scale process control unit from Bytronic. The experimental results demonstrate that this class of control scheme is appropriate for control of time-varying stable plants with time delay. The control system is also shown to possess satisfactory robust performance

Keywords

H^∞ optimisation; adaptive control; flow control; fuzzy control; process control; time-varying systems; H₂ performance objective minimisation; flow rate control; fuzzy adaptive internal model control; fuzzy controller; fuzzy dynamic model; input measurement; model-based fuzzy controller; open-loop stable plants; output measurement; process control; time delay; time-varying stable plants control; Adaptive control; Control systems; Electrical equipment industry; Fuzzy control; Fuzzy systems; Linear systems; Open loop systems; Process control; Programmable control; Robust control;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/41.824142

Filename

824142