Luenberger, Kalman and neural network observers for sensorless induction motor control

This paper presents a comparison between the sensorless vector control schemes of the induction motor using the Luenberger observer, the Kalman filter and a neural network observer. The first two methods have been implemented on a digital signal processor (DSP). Different possibilities for reducing...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Cuibus, M., Bostan, V., Ambrosii, S., Ilas, C., Magureanu, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational complexity Digital signal processing Electronic mail Equations Induction motors Kalman filters Microcontrollers Neural networks Sampling methods Sensorless control
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