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The sensorless drive system is more versatile due to its small size and low cost. Therefore it is advantageous to use the sensorless system where the speed is estimated by means of a control algorithm instead of measuring. This paper presents a new model reference adaptive system (MRAS) speed observer for high-performance field-oriented control induction motor drives using neural networks. The proposed...
A method of speed identification for sensorless induction motor (IM) drives based on a model reference adaptive system (MRAS) is proposed in this paper. The adaptive full-order observer based on IM equation is used to estimate stator currents and rotor flux. Lyapunovpsilas stability criterion is employed to estimate rotor speed. The same algorithm deduced from Lyapunovpsilas stability criterion is...
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