Predictive Fuzzy Control Application

Author

Paulusova, J. ; Kozak, S.

Author_Institution

Dept. of Autom. Control Syst., Slovak Univ. of Technol., Bratislava

Volume

1

fYear

2005

fDate

21-24 Nov. 2005

Firstpage

241

Lastpage

244

Abstract

In this paper a robust predictive fuzzy control (PFC) methods for a nonlinear plant is addressed, proposed and tested. The paper consisting of theoretical and practical parts offers a new approach for intelligent fuzzy robust control design and its successful application. The structure of the fuzzy controller, online model identification and optimal performance index are analyzed, described and verified. The proposed PFC is demonstrated on two examples which one is applied to control of the concentration in the chemical reactor by manipulating its flow rate. The obtained simulation results show that the proposed algorithm is applicable for effective control of highly nonlinear processes that operate over a wide range of working space

Keywords

fuzzy control; identification; intelligent control; nonlinear control systems; performance index; predictive control; robust control; chemical reactor; flow rate manipulation; fuzzy controller; intelligent control; nonlinear plant system; nonlinear process; online model identification; optimal performance index; predictive fuzzy control; robust control; Chemical reactors; Electrical equipment industry; Fuzzy control; Fuzzy logic; Industrial control; Performance analysis; Predictive control; Process control; Robust control; Three-term control; Fuzzy control; identification; nonlinear systems; predictive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer as a Tool, 2005. EUROCON 2005.The International Conference on

Conference_Location

Belgrade

Print_ISBN

1-4244-0049-X

Type

conf

DOI

10.1109/EURCON.2005.1629905

Filename

1629905