Fuzzy logic and neural networks in power electronics and drives

BK Bose - IEEE Industry applications magazine, 2000 - ieeexplore.ieee.org
IEEE Industry applications magazine, 2000ieeexplore.ieee.org
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 …
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.
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