Abstract
The problem of designing fuzzy logic controllers for DC/DC converters involves determining the fuzzy rules, the associated antecedent membership functions and consequent membership functions. This paper presents a methodology of using neural networks to adjust the shapes and locations of the membership functions so that a well-trained fuzzy control rule set can be obtained. This method can eliminate heavy computation which is usually required for multivariable control.
Original language | English |
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Pages (from-to) | 85-90 |
Number of pages | 6 |
Journal | Journal of Electrical and Electronics Engineering, Australia |
Volume | 16 |
Issue number | 2 |
Publication status | Published - 1 Dec 1996 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering