2005
DOI: 10.1109/tpel.2005.854014
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Implementation and Experimental Investigation of Sensorless Speed Control With Initial Rotor Position Estimation for Interior Permanent Magnet Synchronous Motor Drive

Abstract: NOMENCLATURE-and -axis components of stator voltage on rotating frame.-and -axis stator current on rotating frame. EMF constant. Torque constant.-and -axis stator self inductances. Leakage inductance. Component of the self inductance due to space fundamental air-gap flux. Component of the self inductance due to rotor position dependent flux. Armature winding resistance. Differential operator.

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Cited by 207 publications
(64 citation statements)
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“…Another advantage of the IPMSM is better flux-weakening capability. Despite of these advantages, IPMSM drive and control processes are more complicated than the SPMSM's due to its rotor saliency [8].…”
Section: Introductionmentioning
confidence: 99%
“…Another advantage of the IPMSM is better flux-weakening capability. Despite of these advantages, IPMSM drive and control processes are more complicated than the SPMSM's due to its rotor saliency [8].…”
Section: Introductionmentioning
confidence: 99%
“…Rotor position and speed estimation techniques can be approximately classified into two main categories according to its principle of estimating rotor position: the back electromotive force (EMF) voltage estimation strategy [6][7][8] and saliency-based estimation strategy [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Due to the fact that the size of the back-EMF is proportional to the rotor speed it is, thereby, impossible to estimate initial rotor position when the PMSM is at standstill. Starting from inaccurate rotor position information may be accompanied by a temporary reverse rotation or may cause a starting failure [7].…”
Section: Introductionmentioning
confidence: 99%
“…Numerous observer strategies are developed to estimate the states and the parameters of PMSM, such as adaptive observer [1], [2], sliding mode observer [3], [4], [5], [6] and Extended Kalman filter [7], [8], [9], [10]. Recently in [11], [12] an adaptive interconnected observer has been proposed.…”
Section: Introductionmentioning
confidence: 99%