DocumentCode
167716
Title
Fuzzy logic controller design and implementation for industrial applications
Author
Mastacan, Lucian ; Dosoftei, Catalin-Constantin
Author_Institution
Dept. of Autom. Control & Ind. Inf., Gheorghe Asachi Tech. Univ., Iaşi, Romania
fYear
2014
fDate
16-18 Oct. 2014
Abstract
Fuzzy logic controllers (FLCs) utilize fuzzy logic to convert the linguistic control strategy based on expert knowledge into an automatic control strategy. The dynamic of nonlinear processes can be easy controlled using FLCs. The paper presents a method to design the structure of a fuzzy logic controller (FLC) based on decision tables. To achieve the proposed FLC the mathematical models of the nonlinear processes are not necessary. All the FLC parameters can be on-line tuned. The performances of the proposed FLC are validated by experimental results on controlled processes with fast and slow dynamics.
Keywords
control system synthesis; decision tables; fuzzy control; industrial control; mathematical analysis; nonlinear dynamical systems; FLC parameters; automatic control strategy; decision tables; expert knowledge; fuzzy logic controller design; industrial applications; linguistic control strategy; mathematical models; nonlinear processes dynamic; structure design; Control systems; Fuzzy control; Fuzzy logic; Interpolation; Process control; Steady-state; Transient analysis; Fuzzy logic Controller; Nonlinear processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on
Conference_Location
Iasi
Type
conf
DOI
10.1109/ICEPE.2014.6969873
Filename
6969873
Link To Document