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
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;
Conference_Titel :
Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on
Conference_Location :
Iasi
DOI :
10.1109/ICEPE.2014.6969873