Development and implementation of a neuro fuzzy technique for position sensor elimination in a SRM

This article has the objective to present a brief revision of the techniques more generally used in the position sensor elimination in a switched reluctance motor. For each speed level, different techniques are indicated for a good system operation. A new technique of position sensor elimination is...

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Hauptverfasser:	Henriques, L.O.A.P., Rolim, L.G.B., Suemitsu, W.I., Branco, P.J.C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Circuit properties Electric, optical and optoelectronic circuits Electrical engineering. Electrical power engineering Electrical machines Electronic circuits Electronics Exact sciences and technology Fuzzy logic Induction motors Intelligent sensors Miscellaneous Neural networks Neuro-fuzzy Technique Phase estimation Pulse measurements Reluctance machines Reluctance motors Rotors Sensorless Operation Signal convertors Switched Reluctance Motor Voltage
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Beschreibung
Zusammenfassung:	This article has the objective to present a brief revision of the techniques more generally used in the position sensor elimination in a switched reluctance motor. For each speed level, different techniques are indicated for a good system operation. A new technique of position sensor elimination is presented, based in intelligent techniques with neural nets and fuzzy logic. It uses only phase voltages and the reference current signals to obtain the speed/position estimation. Experimental and simulation results are presented showing its good performance.
DOI:	10.1109/ISIE.2004.1571852