Extended-Kalman-filter based sensorless speed vector control of induction motor taking iron loss into account
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Date
2007
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Publisher
Advances in Modelling and Analysis C
Abstract
In vector controlled induction motor drives, the instantaneous rotor speed is measured using whether sensors or estimators. Since the basic Kaiman filter is a state observer, its use in vector controlled schemes has received much attention. However, these schemes are based on the assumption that the existence of iron loss in an induction motor may be neglected. The paper shows the effect of iron loss on the extended Kaiman filter performance that is designed on the basis if the ironless induction machine model. Original simulation results are carried out to demonstrate this effect as well as the effectiveness of the suggested approach to minimise the speed estimation error without modifying the observer algorithm
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Keywords
Estimation error, Extended Kalman filter, Iron loss, Speed estimation
