NDLI: Artificial Neural Network Based Implementation of Space Vector Modulation for Voltage Fed Inverter Induction Motor Drive

Content Provider	IEEE Xplore Digital Library
Author	Sadati, N. Barati, F.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran (Sadati, N.; Barati, F.)
Abstract	In this paper, a neural network based implementation of space vector modulation (SVM) of a two-level voltage fed inverter is proposed. This network has the advantage of very fast implementation of SVM algorithm, particularly when a dedicated application-specific IC chip is used instead of a digital signal processor (DSP). The proposed neural network consists of several subnets, a counter and a logic circuit. Subnets are used to implement the stages of SVM algorithm while the counter is used to apply the switching state vectors in their specified times to inverter. The logic circuit generates the inverter switches commands according to the outputs of the subnets. The scheme has been evaluated on an induction motor drive which results in an excellent performance. According to straight forward steps of the artificial neural network (ANN) design, the modulator can be easily extended to multi-level inverters
Starting Page	4410
Ending Page	4414
File Size	4134605
Page Count	5
File Format	PDF
ISBN	1424403901
ISSN	1553572X
DOI	10.1109/IECON.2006.347311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Voltage Inverters Induction motor drives Support vector machines Signal processing algorithms Counting circuits Logic circuits Application specific integrated circuits Digital integrated circuits
Content Type	Text
Resource Type	Article

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