2013 15th European Conference on Power Electronics and Applications (EPE) 2013
DOI: 10.1109/epe.2013.6631937
|View full text |Cite
|
Sign up to set email alerts
|

Sensorless control of PMSM fed through the sinusoidal filter

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
5
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
4
3

Relationship

3
4

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 11 publications
0
5
0
Order By: Relevance
“…Estimated currents and measured currents are used in the corrective feedback to enable the proper estimation performance. Used in the control chain the observer is (Urbanski, 2013) structure of the Luenberger observer (Luenberger, 1971). Observer is prepared as an αβ model.…”
Section: Position Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…Estimated currents and measured currents are used in the corrective feedback to enable the proper estimation performance. Used in the control chain the observer is (Urbanski, 2013) structure of the Luenberger observer (Luenberger, 1971). Observer is prepared as an αβ model.…”
Section: Position Estimationmentioning
confidence: 99%
“…In typical realization, the sensorless operation in speed control of PMSM drive may be achieved in field-oriented control (FOC) just by elimination of the position sensor, and use of a position estimator, even in more complex drives, e.g. fed by sinusoidal filter (Urbanski, 2013), or use the open loop mode for simple drives (Brock and Pajchrowski, 2013), or use the direct torque control (DTC) method (Ahmed Adam and Gulez, 2009). However, the speed calculation directly from estimated position value is not so trivial in the case of low-speed range of operation (Raute et al, 2007(Raute et al, , 2011Gu et al, 2009), or in a case of high-dynamic drive (Hunter, 2011), because it is assumed that the back EMF estimation does not have sufficient accuracy at lower speed range, and there is a possibility of the excitation oscillations by the estimator.…”
Section: Introductionmentioning
confidence: 99%
“…In order to control the drive systems for the non-zero speed range, different methods for estimating the shaft position are used [21,22,23,24,25,26,27], including the Luenberger observer [17], the modified Luenberger observer (with multiple integrator) [24], and the above-mentioned Kalman filter [25]. In the case of sensorless drives in the low-speed range (assuming the following distinction for sensorless operation: low speed, the speed of a single revolution per second; very low speed, the speed of a single revolution per minute), it is usually assumed that the methods based on estimating the electromotive forces do not work properly [22,26,27].…”
Section: Introductionmentioning
confidence: 99%
“…Reliable operation without sensor is still a subject of investigations. The actual investigations are mainly focused on: zero speed range [1][2][3][4], high dynamic performance [5,6], motor supplied through choke or LC filter [7][8][9] and supplied by matrix converter [1,10]. Various approaches to the sensorless control are applied: using signal injections (typical application is zero speed range), based on back EMF estimation -including continuous observer of the kind which is presented in the paper and sliding mode based observers [11], based on Kalman filter [12,13], an adaptive interconnected observer [14] and the use of the artificial neural networks [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Reliable operation without sensor is still a subject of investigations. The actual investigations are mainly focused on: zero speed range [1][2][3][4], high dynamic performance [5,6], motor supplied through choke or LC filter [7][8][9] and sup- …”
mentioning
confidence: 99%