DocumentCode
1324937
Title
Fuzzy logic and neural networks in power electronics and drives
Author
Bose, Bimal K.
Volume
6
Issue
3
fYear
2000
Firstpage
57
Lastpage
63
Abstract
Artificial intelligence (AI) techniques are finding increased applications in science and engineering. The application of AI techniques to household appliances, power systems, industrial and transport systems, medical equipment, etc., is increasing daily. AI techniques have made inroads to power electronics and drives to give more user-friendly, efficient, and improved dynamic performance, and robust and intelligent products. AI is basically embedding human intelligence into a machine so that it can think like a human being. AI is superior to human intelligence in some aspects. The computer with embedded AI techniques can process problems extremely fast compared to human beings; it can work continuously without tiring, and its problem-solving capability is not-affected by emotions and other human shortcomings. Advanced control based on artificial intelligence techniques is called intelligent control. Unlike classical control, intelligent control strategy may not need the mathematical model of the plant. Intelligent control can be visualized as a type of adaptive control. In this article, the application of fuzzy logic and neural network techniques to power electronics and electrical drives has been briefly described
Keywords
adaptive control; electric drives; fuzzy control; fuzzy logic; fuzzy neural nets; intelligent control; power electronics; adaptive control; artificial intelligence; drives; fuzzy logic; fuzzy neural network; household appliances; human intelligence; intelligent control; medical equipment; neural networks; power electronics; power systems; transport systems; Artificial intelligence; Artificial neural networks; Biomedical engineering; Fuzzy logic; Humans; Intelligent control; Machine intelligence; Neural networks; Power electronics; Power system dynamics;
fLanguage
English
Journal_Title
Industry Applications Magazine, IEEE
Publisher
ieee
ISSN
1077-2618
Type
jour
DOI
10.1109/2943.838042
Filename
838042
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