A design of predictive PID control systems using GA and GMDH network

Author

Sakaguchi, Akihiro ; Yamamoto, Toru

Author_Institution

Dept. of Control Eng., Sasebo Nat. Coll. of Technol., Nagasaki, Japan

Volume

1

fYear

2002

fDate

2002

Firstpage

266

Abstract

PID control scheme has been widely used in most process control systems, because the PID controller has a simple structure, and three parameters at the most. However, since it is difficult to choose suitable parameters,lots of works have been reported with respect to tuning scheme of PID parameters. In this paper, a design scheme of predictive PID control system using a GMDH (group method of data handling) multilayer neural network and a genetic algorithm (GA) is proposed. Furthermore, the effectiveness of the newly proposed scheme is evaluated on a simulation example.

Keywords

control system synthesis; genetic algorithms; multilayer perceptrons; neurocontrollers; predictive control; process control; three-term control; GA; GMDH network; PID parameter tuning schemes; multilayer neural network; predictive PID control system design; process control systems; Algorithm design and analysis; Control engineering; Control systems; Genetic algorithms; Mathematical model; Neural networks; Nonlinear control systems; Nonlinear systems; Process control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2002. Proceedings of the 2002 International Conference on

Print_ISBN

0-7803-7386-3

Type

conf

DOI

10.1109/CCA.2002.1040196

Filename

1040196