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Content Provider | IEEE Xplore Digital Library |
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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 | |
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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