A modified defuzzifier for control of the inverted pendulum using learning

Author

Wang, Seen-Shing ; Mclaren, Ron

Author_Institution

Dept. of Electr. Eng., Missouri Univ., Columbia, MO, USA

fYear

1997

fDate

21-24 Sep 1997

Firstpage

118

Lastpage

123

Abstract

The paper introduces a novel defuzzification procedure to segment the input domains and assign selectable gain factors. With proper factor values in the defuzzifier, a fuzzy logic controller can speed-up the transient response without affecting stability. In addition, an instability due to inappropriate control rules can be accommodated. Also, the proposed defuzzifier can improve the system performance by using a genetic algorithm to learn the gain factors

Keywords

fuzzy control; genetic algorithms; learning systems; nonlinear control systems; pendulums; stability; transient response; control rules; defuzzification procedure; factor values; fuzzy logic controller; gain factor learning; genetic algorithm; input domain segmentation; instability; inverted pendulum control; modified defuzzifier; selectable gain factor assignment; system performance; transient response; Control systems; Engines; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Message-oriented middleware; Nonlinear control systems; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American

Conference_Location

Syracuse, NY

Print_ISBN

0-7803-4078-7

Type

conf

DOI

10.1109/NAFIPS.1997.624022

Filename

624022