Artificial intelligence in nonlinear process control based on fuzzy logic

Author

Shteimberg, E. ; Kravits, M. ; Ellenbogen, A. ; Arad, M. ; Kadmon, Y.

Author_Institution

Nucl. Res. Center-Negev (N.R.C.N), Beer-Sheva, Israel

fYear

2012

fDate

14-17 Nov. 2012

Firstpage

1

Lastpage

5

Abstract

Artificial Intelligence (AI) techniques are becoming useful as alternative approaches to conventional techniques or as components of integrated systems, coping with highly nonlinear processes. Fuzzy Logic (FL) is a major branch of AI based on human-like reasoning. In this paper a nonlinear system control design using a Hybrid of Fuzzy Logic and PI controller is presented. The proposed control scheme enables the controller to yield better control performance for highly nonlinear processes, compared to a regular PI controller.

Keywords

PI control; fuzzy control; nonlinear control systems; process control; AI technique; FL controller; PI controller; artificial intelligence technique; fuzzy logic controller; human-like reasoning; integrated system; nonlinear process control; nonlinear system control design; Artificial intelligence; Fuzzy logic; Mathematical model; Nonlinear systems; Process control; Regulators; Uncertainty; AI; FUZZY LOGIC; IMC; PID;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of

Conference_Location

Eilat

Print_ISBN

978-1-4673-4682-5

Type

conf

DOI

10.1109/EEEI.2012.6376916

Filename

6376916