2015 IEEE 13th Brazilian Power Electronics Conference and 1st Southern Power Electronics Conference (COBEP/SPEC) 2015
DOI: 10.1109/cobep.2015.7420141
|View full text |Cite
|
Sign up to set email alerts
|

Sensorless technique applied to PMSG of WECS using sliding mode observer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…C p is the sixth order polynomial of the tip-speed ratio. C p curve is modeled based on the sixth order polynomial expression [16]. Curve fitting is a good approximation for wide wind speed values between 2 m/s and 15 m/s.…”
Section: Proposed Sensorless Control Methods and Mppt Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…C p is the sixth order polynomial of the tip-speed ratio. C p curve is modeled based on the sixth order polynomial expression [16]. Curve fitting is a good approximation for wide wind speed values between 2 m/s and 15 m/s.…”
Section: Proposed Sensorless Control Methods and Mppt Studiesmentioning
confidence: 99%
“…Because no initial position problem and operating at flux-weakening region exist, sensorless control is a significant cost reductive solution for the control of PMSG drives. Determining the wind speed and rotor position can be accomplished with the methods which are Direct Torque Control (DTC), Model Reference Adaptive System (MRAS), and Sliding Mode Observer (SMO) depending on back-EMF prediction [8,[14][15][16][17][18]. Because these methods are often affected by parameter variation and cause loss of stability at low speeds, they have severe disadvantages in sensorless PMSG control [19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…15, this command is based initially on the calculation of the reference current based on the knowledge of the wind turbine characteristics and the calculation of the optimal power using Eqs. (23), (24), and (25) [16]. Then we use this reference current to calculate the sliding surface and the equivalent control in order to conclude a better control signal to properly reach and follow the wind system maximum power point.…”
Section: Proposed Rsmc Algorithm For Wind Systemmentioning
confidence: 99%