Título: Induction Machine Speed Neural Estimator Implemented in Programmable Architecture
Autores: Mouzinho, L. F.; Fonseca Neto, J.V.; Luciano, B. A.; Freire, R. C. S.
Resumo: This work presents a state observer based on Artificial Neural Networks (ANN’s) and a Programmable Architecture to estimate an Induction Machine (IM) speed . Indirect measurement system is the observer’s physical accomplishment formed by hardware components, voltage/current meters and digital circuit, by the software and the estimation algorithm. Speed obtained by simulation based on mathematical models and by estimation algorithm implementation in PSoC programmable circuit is compared to machine’s speed measured values by a tachometer.
Palavras-chave: Artificial neural network; estimation; indirect measurement; induction machine speed; programmable architecture; PSoC
Código DOI: 10.21528/CBRN2005-069
Artigo em PDF: CBRN2005_069.pdf
Arquivo BibTex: CBRN2005_069.bib