2015
DOI: 10.1109/tpel.2014.2328617
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Improved Stator Flux Estimator for Speed Sensorless Induction Motor Drives

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Cited by 126 publications
(60 citation statements)
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“…12 to avoid variations of flux estimation error according to rotor speed or voltage frequency because the pure integrator based on (17) cannot be realized practically and the improved flux linkage estimators have dependency on the speed or on the voltage frequency [21], [23], [24], which are sensitive to the voltage offset errors.…”
Section: A Tested Systemmentioning
confidence: 99%
“…12 to avoid variations of flux estimation error according to rotor speed or voltage frequency because the pure integrator based on (17) cannot be realized practically and the improved flux linkage estimators have dependency on the speed or on the voltage frequency [21], [23], [24], which are sensitive to the voltage offset errors.…”
Section: A Tested Systemmentioning
confidence: 99%
“…5(b). Up to date, a number of strategies were suggested to mitigate the LPF negative effects [14]- [16] and thus, improving the performance of VM-based flux estimators. However, these LPF negative effects do not contribute to the aforementioned eccentric estimated stator flux issue.…”
Section: Imbalanced Inverter Voltage Drop (Ivd)mentioning
confidence: 99%
“…The major weakness of the voltage model flux estimator is the implementation of a pure integrator which suffers from DC drift and initial value problems [34,35]. In order to overcome these problems, numerous methods with different modifications of the voltage model flux estimator have been proposed in literature.…”
Section: Voltage Model Flux Estimatormentioning
confidence: 99%
“…In order to overcome these problems, numerous methods with different modifications of the voltage model flux estimator have been proposed in literature. Most of the proposed voltage model based methods replace the pure integrator by the first-order low pass filter (LPF) with either a fixed [34,36,37], or a variable cut-off frequency [6,35,38]. However, the use of LPF introduces the phase and magnitude errors in the estimated flux and requires a compensation algorithm to compensate these errors.…”
Section: Voltage Model Flux Estimatormentioning
confidence: 99%