2011 Symposium on Sensorless Control for Electrical Drives 2011
DOI: 10.1109/sled.2011.6051558
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Design issues and estimation errors analysis of back-EMF based position and speed observer for SPM synchronous motors

Abstract: A back-electromotive force (back-EMF) based sensorless technique for surface-mounted permanent magnet synchronous motor (SPMSM) drive systems is considered in this paper. The model of the observer is developed in the Laplace domain and represents an original approach with respect to state-of-art proposals, normally employing a state-state representation. This allows a more intuitive but equivalent design of the observer's gains, based on the standard frequency response, as compared to eigenvalues analysis. Mor… Show more

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Cited by 16 publications
(6 citation statements)
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“…In both designs, the projection vector (34) is used and the speed-estimation gains are given by (37) with ω o = 2π · 100 rad/s. The local stability of the two observer designs is analyzed by calculating the poles of (14) in the speed range of ω m0 = 0 . .…”
Section: A Stability Analysismentioning
confidence: 99%
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“…In both designs, the projection vector (34) is used and the speed-estimation gains are given by (37) with ω o = 2π · 100 rad/s. The local stability of the two observer designs is analyzed by calculating the poles of (14) in the speed range of ω m0 = 0 . .…”
Section: A Stability Analysismentioning
confidence: 99%
“…The observers proposed in [11]- [17] are similar to [1]- [7], but their order is higher and they have unnecessarily many design parameters. In addition to the current vector, the PM-flux vector is estimated in [11]- [13] and the back-EMF vector in [14]. An additional integral action is used in [15]- [17].…”
Section: Introductionmentioning
confidence: 99%
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“…Thirdly, if the position sensor of the motor is not equipped, the rotor speed and position can be estimated on the basis of the observers [26][27][28][29][30][31]. The stator voltages and currents are necessary for the observers.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, many studies have been focused on sensorless control methods. Various kinds of sensorless control methods have been introduced, which can be categorised into two series [7][8][9][10][11][12][13]. The first is based on back electromotive force (BEMF) or flux-linkage model that can be used at medium-and high-speed ranges, such as Luenberger observers, sliding mode observers (SMOs), model reference adaptive system observers, and Kalman filters.…”
Section: Introductionmentioning
confidence: 99%