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Möglichkeiten zum Einsatz von neuronalen Netzen zur mechanisch sensorlosen Regelung von umrichtergespeisten Asynchronmotoren

Application of neural networks in induction motor drives without mechanical sensor

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Zusammenfassung

Die Problematik des mechanischen Sensors bei modernen umrichtergespeisten Drehstromantrieben wird aufgezeigt und Möglichkeiten zur sensorlosen Regelung von Asynchronmaschinen erörtert. Dabei wird speziell der Bereich kleiner Statorgrundschwingungsfrequenzen inklusive des elektrischen Stillstands behandelt. Anhand eines ausgewählten Verfahrens, das auf räumlich unterschiedlichen Sättigungsverhältnissen in der Maschine basiert, werden Möglichkeiten zum Einsatz von neuronalen Netzen beim praktischen Aufbau von sensorlosen Antrieben gezeigt. Dabei spielt vor allem die Identifizierung der magnetischen Parameter eines Maschinentyps eine große Rolle.

Abstract

Problems in the realization of drives without mechanical sensor are discussed with special emphasis on the operation at low fundamental electrical frequency including zero frequency. One method that is based on spatial differences in the saturation of the induction machine is shown and a possible combination with a neural network is presented. The main task of the neural network is the identification of the magnetic fingerprint of the induction machine.

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Wolbank, T.M., Berger, G. Möglichkeiten zum Einsatz von neuronalen Netzen zur mechanisch sensorlosen Regelung von umrichtergespeisten Asynchronmotoren. Elektrotech. Inftech. 117, 113–118 (2000). https://doi.org/10.1007/BF03158597

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