Induction Machine Neural Estimator using Embedded System

Author

Mouzinho, L.F. ; FonsecaNeto, J.V. ; Luciano, B.A. ; Freire, R.C.S. ; Catunda, Sebastian Y.

Author_Institution

Dept. of Electron. & Electr. Eng., Maranhaos Fed. Center of Technologic Educ.

Volume

2

fYear

2005

fDate

16-19 May 2005

Firstpage

1291

Lastpage

1296

Abstract

Indirect measurement architecture for speed estimation has been presented in this paper. This system is based on neural estimator implemented on programmable system on-chip (PSoC), using C++ language, which executes speed estimator algorithm, considering a 1.0 s time interval for neural estimator. The results from experiments and simulations indubitably proved the proposed estimator good performance. This efficiency was verified by analysis, considering the following focus: estimator precision when its compared to conventional speed measurements (tachometer). Speed measurements values from the PSoC and tachometer have shown a smaller than 2% discrepancy

Keywords

C++ language; asynchronous machines; computerised instrumentation; embedded systems; neural nets; system-on-chip; tachometers; velocity measurement; C++ language; PSoC; embedded system; estimator precision; induction machine; neural estimator; programmable system on-chip; speed estimation; speed measurements; tachometer; Artificial neural networks; Embedded system; Induction machines; Neural networks; Observers; Signal processing algorithms; Software measurement; State estimation; Velocity measurement; Voltage; PSoC; embedded system; estimation; indirect measurement; neural networks; programmable architecture; speed Induction Machine; system real time;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-8879-8

Type

conf

DOI

10.1109/IMTC.2005.1604356

Filename

1604356