Title :
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
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;
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
DOI :
10.1109/NAFIPS.1997.624022
