Online Identification of Permanent Magnet Flux Based on Extended Kalman Filter for IPMSM Drive With Position Sensorless Control
By Y. Shi, Kai Sun, Lipei Huang, Yongdong Li. IEEE transactions on industrial electronics (1982. Print), 2012
349 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/400128a889356b3b666a0898595a5168f49a10ec
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In Control and Systems Engineering
- François Auger
- T. Orłowska-Kowalska
- Josep M. Guerrero
- Eric Monmasson
- Seiichiro Katsura
- Mickaël Hilairet
- Juan Carlos Vasquez
- Yun Wei Li
In Electrical and Electronic Engineering
- François Auger
- T. Orłowska-Kowalska
- Josep M. Guerrero
- Eric Monmasson
- Seiichiro Katsura
- Mickaël Hilairet
- Juan Carlos Vasquez
- Yun Wei Li
Citations in the corpus
- Industrial Applications of the Kalman Filter: A Review (2013, background): “In [45], the”
- Deadbeat Predictive Current Control of Permanent-Magnet Synchronous Motors with Stator Current and Disturbance Observer (2017, neutral): “Assuming that the employed PMSM has negligible crosscoupling magnetic saturation, structural asymmetry, iron losses, magnet eddy current loss, and harmonics in the descriptive functions of windings, rotor anisotropy, and coercive force of magnets, the voltage equations of PMSM in synchronous rotatin”
- Adaptive Second-Order Sliding-Mode Observer for PMSM Sensorless Control Considering VSI Nonlinearity (2018, methodology): “On the contrary, machine model based sensorless control methods, including model reference adaptive system (MRAS) [5], extended Kalman filter (EKF) [6] and sliding-mode observer (SMO) [7]–[10], are suitable for medium and high speed range sensorless operation where back-EMF is large enough to be est”