A deadzone compensator of a DC motor system using fuzzy logic control

Author

Jang, Jun Oh

Author_Institution

Dept. of Comput. Control Eng., Uiduk Univ., Kyongju, South Korea

Volume

31

Issue

1

fYear

2001

fDate

2/1/2001 12:00:00 AM

Firstpage

42

Lastpage

48

Abstract

A deadzone compensator is designed for a DC motor system using a fuzzy logic controller. The classification property of fuzzy logic systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the fuzzy logic parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are given to show that the tracking error is small. The fuzzy logic deadzone compensator is implemented on a DC motor system to show its efficacy

Keywords

DC motors; compensation; fuzzy control; fuzzy logic; machine control; DC motor system; bounded parameter estimates; classification property; deadzone compensation scheme; deadzone compensator; error rejection; formal nonlinear stability proofs; fuzzy logic control; fuzzy logic controller; fuzzy logic deadzone compensator; fuzzy logic parameters; small tracking errors; tracking error; tuning algorithm; Actuators; Computer errors; Control engineering; Control systems; DC motors; Feedback control; Function approximation; Fuzzy logic; Parameter estimation; Stability;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

Publisher

ieee

ISSN

1094-6977

Type

jour

DOI

10.1109/5326.923267

Filename

923267