Aspects of fuzzy logic in controller design

Author

Kannan, P.S. ; Srinivasan, R. ; Kamaraj, N. ; Vathsal, S.

Author_Institution

Dept. of Electr. Eng., Thiagaraja Coll. of Eng., Madurai, India

fYear

1995

fDate

5-7Jan 1995

Firstpage

83

Lastpage

88

Abstract

Fuzzy logic is a systematic mathematical formulation for investigating and characterizing the different types of uncertainties. This paper presents the concept of representing uncertainties in membership diagram and forming the fuzzy rules (fuzzification) specifically for the basic design of controller. The fuzzification is carried out with eleven linguistic values. A defuzzification approach developed in this paper is novel and achieves better stability. The defuzzification rule is used to determine the relevant control signal for each sampling instant. Simulation results for the system having one and two poles at the origin are presented to demonstrate the better performance of the fuzzy controller

Keywords

control system synthesis; fuzzy control; poles and zeros; stability; controller design; defuzzification; fuzzification; fuzzy logic; fuzzy rules; membership diagram; stability; systematic mathematical formulation; Control systems; Error correction; Fuzzy control; Fuzzy logic; Fuzzy sets; Linearity; Programmable control; Sampling methods; Solids; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Automation and Control, 1995 (I A & C'95), IEEE/IAS International Conference on (Cat. No.95TH8005)

Conference_Location

Hyderabad

Print_ISBN

0-7803-2081-6

Type

conf

DOI

10.1109/IACC.1995.465863

Filename

465863