KIEE International Transaction on Systems and Control
- Volume 12D Issue 1
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- Pages.17-26
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- 2002
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- 1598-3595(pISSN)
The Design of Fuzzy Controller by Means of Genetic Optimization and Estimation Algorithms
- Oh, Sung-Kwun (School of Electrical, Electronic and Information Engineering, Wonkwang University) ;
- Rho, Seok-Beom (School of Electrical, Electronic and Information Engineering, Wonkwang University)
- Published : 2002.03.01
Abstract
In this paper, a new design methodology of the fuzzy controller is presented. The performance of the fuzzy controller is sensitive to the variety of scaling factors. The design procedure is based on evolutionary computing (more specifically, a genetic algorithm) and estimation algorithm to adjust and estimate scaling factors respectively. The tuning of the soiling factors of the fuzzy controller is essential to the entire optimization process. And then we estimate scaling factors of the fuzzy controller by means of two types of estimation algorithms such as HCM (Hard C-Means) and Neuro-Fuzzy model[7]. The validity and effectiveness of the proposed estimation algorithm for the fuzzy controller are demonstrated by the inverted pendulum system.
Keywords
- fuzzy controller;
- evolutionary computing;
- estimation algorithm;
- Hard C-Means (HCM) Clustering;
- negro-fuzzy model