Field Programmable Gate Array (FPGA) Based Neural Network Implementation of Stator Flux Oriented Vector Control of Induction Motor Drive

André M. Soares, Luciana C. Leite, João O.P. Pinto, Luiz E.B. Da Silva, Bimal K. Bose, Milton E. Romero

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

In this work, it is proposed the implementation of the SFOVC-ANN using Field Programmable Gate Array (FPGA). The proposed scheme assure parallel processing of the ANN, since the circuit design was done in such way that the neurons in the same layer processes the input signals in parallel. The non-linear sigmoidal transfer function is implemented using Spline Interpolation, which guarantees an excellent precision. Initially in the digest, a description of the proposed system is given. Then, the nonlinear neuron implementation strategy is explained. Following this, the FPGA implementation of ANN is described. Finally, simulation and experimental results are given to substantiate the development.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Industrial Technology, ICIT
Pages31-34
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 IEEE International Conference on Industrial Technology, ICIT - Mumbai, India
Duration: Dec 15 2006Dec 17 2006

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Conference

Conference2006 IEEE International Conference on Industrial Technology, ICIT
Country/TerritoryIndia
CityMumbai
Period12/15/0612/17/06

Fingerprint

Dive into the research topics of 'Field Programmable Gate Array (FPGA) Based Neural Network Implementation of Stator Flux Oriented Vector Control of Induction Motor Drive'. Together they form a unique fingerprint.

Cite this