2017
DOI: 10.1109/tia.2017.2679689
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Sensorless Direct Flux Vector Control of Synchronous Reluctance Motors Including Standstill, MTPA, and Flux Weakening

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Cited by 94 publications
(52 citation statements)
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“…It must be noted that for high currents this position estimation technique will present error due to cross-saturation effect [14], especially for high anisotropy motors. The expected error due to cross-saturation effect Δ can be estimated as:…”
Section: A Position Detection Techniquementioning
confidence: 99%
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“…It must be noted that for high currents this position estimation technique will present error due to cross-saturation effect [14], especially for high anisotropy motors. The expected error due to cross-saturation effect Δ can be estimated as:…”
Section: A Position Detection Techniquementioning
confidence: 99%
“…Due to the differential inductance variability, also Δ is a function of the working point in the dq current plane. The literature proposes several methods to overcome this position error [14], [15], but the correction requires the knowledge of the flux maps, that is not available at this stage of the self commissioning procedure.…”
Section: A Position Detection Techniquementioning
confidence: 99%
See 1 more Smart Citation
“…This method is based on the salient pole effect of the motor, which is mainly used in zero and low speed domains. The second one is called back EMF based methods [10][11][12][13][14][15][16][17][18][19], which utilizes the estimated back EMF signals to obtain the position information of the motor. Because the magnitude of back EMF is in proportion to the speed of the motor, the performance of back EMF based methods at ultra-low and zero speed is extremely poor [11].…”
Section: Introductionmentioning
confidence: 99%
“…Because the magnitude of back EMF is in proportion to the speed of the motor, the performance of back EMF based methods at ultra-low and zero speed is extremely poor [11]. Hence, back EMF based methods and signal injection methods are usually combined to achieve sensorless control for a whole speed range [12][13][14]. Back EMF based methods primarily includes the model adaptive method (MRAS) [16], the Kalman filtering method (EKF) [17], and the sliding mode observer (SMO) [2,18,19], etc.…”
Section: Introductionmentioning
confidence: 99%