2018
DOI: 10.1016/j.ifacol.2018.05.062
|View full text |Cite
|
Sign up to set email alerts
|

Closed Loop Stability of a PMSM-EKF Controller-Observer Structure

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(3 citation statements)
references
References 13 publications
0
3
0
Order By: Relevance
“…In [9], to estimate and control the rotor speed and position, an Extended Kalman Filter (EKF) is designed for a sensor-free vector control drive. In [10,11], linear model prediction controllers (MPCs) with the addition of least mean square (LMS) identification strategies and online parameter detection are presented for permanent magnet synchronous generators (PMSGs). In [12], a Robust Adaptive Backstepping Control (RABC) is suggested for High-Speed Permanent Magnet Synchronous Motors (HSPMSM).…”
Section: Introductionmentioning
confidence: 99%
“…In [9], to estimate and control the rotor speed and position, an Extended Kalman Filter (EKF) is designed for a sensor-free vector control drive. In [10,11], linear model prediction controllers (MPCs) with the addition of least mean square (LMS) identification strategies and online parameter detection are presented for permanent magnet synchronous generators (PMSGs). In [12], a Robust Adaptive Backstepping Control (RABC) is suggested for High-Speed Permanent Magnet Synchronous Motors (HSPMSM).…”
Section: Introductionmentioning
confidence: 99%
“…Although the EKF algorithm is robust to the system noise, the advantages of this method are limited by the large amount of computation, the sensitivity of parameters, and the need for proper initialization [19]. In [25], a rotor position estimation algorithm based on the extended Kalman filter algorithm was proposed. However, only the experimental results at constant speed were considered, and it turned out that the error of the estimated rotor position was large.…”
Section: Introductionmentioning
confidence: 99%
“…Many techniques are used in order to estimate angular speed and rotor position of PMSM, in literature, like Extended Kalman Filtering (EKF) algorithm is applied to estimate speed and rotor position [5], and Luenberger observer [6].…”
Section: Introductionmentioning
confidence: 99%