Paper Info
Title
Neural Network Applications In Power Electronics And Motor Drives- An Introduction And Perspective
Abstract
Artificial intelligence (AI) techniques, particularly the neural networks, are recently having significant impact on power electronics and motor drives. Neural networks have created a new and advancing frontier in power electronics, which is already a complex and multidisciplinary technology that is going through dynamic evolution in the recent years. This paper gives a comprehensive introduction and perspective of neural network applications in the intelligent control and estimation for power electronics and motor drives area. The principal topologies of neural networks that are currently most relevant for applications in power electronics have been reviewed including the detailed description of their properties. Both feedforward and feedback or recurrent architectures have been covered in the description. The application examples that are discussed in this paper include nonlinear function generation, delayless filtering and waveform processing, feedback signal processing of vector drive, space vector PWM of two-level and multilevel inverters, adaptive flux vector estimation, and some of their combination for vector-controlled ac drive. Additional selected applications in the literature are included in the references. From the current trend of the technology, it appears that neural networks will find widespread applications in power electronics and motor drives in future.
Year
DOI
Venue
2007
10.1109/TIE.2006.888683
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Keywords
Field
DocType
backpropagation network, induction motor drive, intelligent control and estimation, neural network, perceptron, recurrent network, space vector PWM
Intelligent control,Signal processing,Vector control,Control theory,Network topology,Control engineering,Electronic engineering,Power electronics,Engineering,Artificial neural network,Perceptron,Feed forward
Journal
Volume
Issue
ISSN
54
1
0278-0046
Citations 
PageRank 
References 
78
6.54
17
Authors
1
Name
Order
Citations
PageRank
Bimal K. Bose116619.45