A non-model-based controller used in process control

Author

Wang, Jin

Author_Institution

Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong

Volume

1

fYear

1997

fDate

10-12 Dec 1997

Firstpage

832

Abstract

A non-model-based controller (NMBC) used in process control is presented. It has three features: 1) it does not need any mathematical model; 2) the adjustable parameters of the NMBC have practical interpretation, so they can be determined easily using human experience; and 3) the contribution of NMBC to a controlled plant is separated into two parts-steady state contribution and transient contribution. Two methods are employed to tune the NMBC parameters. The experiment and simulation results show that NMBC is very effective especially when there are variations in the process dynamics

Keywords

controllers; dynamics; fuzzy control; inference mechanisms; process control; self-adjusting systems; tuning; fuzzy reasoning; gradient descent algorithm; nonmodel-based controller; process control; process dynamics; self tuning; steady state contribution; transient contribution; Automatic control; Control systems; Control theory; Electrical equipment industry; Fuzzy reasoning; Industrial control; Mathematical model; Open loop systems; Process control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1997., Proceedings of the 36th IEEE Conference on

Conference_Location

San Diego, CA

ISSN

0191-2216

Print_ISBN

0-7803-4187-2

Type

conf

DOI

10.1109/CDC.1997.650744

Filename

650744