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.
|Number of pages||6|
|Journal||Journal of Electrical and Electronics Engineering, Australia|
|Publication status||Published - 1 Dec 1996|
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering