2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and P 2013
DOI: 10.1109/sled-precede.2013.6684524
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FPGA-based implementation of the back-EMF symmetric-threshold-tracking sensorless commutation method for Brushless DC-machines

Abstract: Abstract-The operation of brushless DC permanent-magnet machines requires information of the rotor position to steer the semiconductor switches of the power-supply module which is commonly referred to as Brushless Commutation. Different sensorless techniques have been proposed to estimate the rotor position using current and voltage measurements of the machine. Detection of the back-electromotive force (EMF) zero-crossing moments is one of the methods most used to achieve sensorless control by predicting the c… Show more

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Cited by 5 publications
(5 citation statements)
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“…During speed transients this assumption leads to a degradation of the performance of the drive. The technique proposed in [2] and [3] is employed together with the current reference optimisation.…”
Section: Proposed Current Optimisationmentioning
confidence: 99%
See 1 more Smart Citation
“…During speed transients this assumption leads to a degradation of the performance of the drive. The technique proposed in [2] and [3] is employed together with the current reference optimisation.…”
Section: Proposed Current Optimisationmentioning
confidence: 99%
“…The most frequently used self-sensing method for BLDC drives is to detect the back-EMF zero-crossing moments. Examples of the use of zero-crossings detection can be found in [2], [3] and [4].…”
Section: Introductionmentioning
confidence: 99%
“…Sensorless vector control scheme is successfully implemented if the the accuracy of the estimation of the rotor position is good. This algorithm is implemented by fundamental excitation method and the position of the rotor is detected from the back electromotive force (back EMF) [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…Real-time spectral search based velocity estimation is reported in [1][2][3][4] at estimation window durations ranging from ≈142.8 to ≈333.3 milliseconds, with some of the employed techniques using overlapping windows to increase the attainable estimation rate. FPGA application of real-time positon and speed estimation techniques that are non-spectral search based has been examined recently [7][8] to evaluate the execution speed benefits provided by FPGA implementation.…”
Section: Introductionmentioning
confidence: 99%