2013
DOI: 10.1049/iet-pel.2012.0628
|View full text |Cite
|
Sign up to set email alerts
|

Intelligent sensor fault‐tolerant control for variable speed wind electrical systems

Abstract: This study focuses on sensor fault-tolerant control (FTC) for grid-connected variable speed wind electrical systems (VSWES) to regulate active and reactive power flow through the grid. The closed-loop performances of the VSWES massively depend on the precise voltage and current sensing. An abrupt failure or faulty measurement in one of the sensors may lead to system malfunction. To overcome this, the fault has to be detected and handled quickly. A simple and intelligent fault detection and isolation (FDI) algo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
10
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
9
1

Relationship

2
8

Authors

Journals

citations
Cited by 23 publications
(10 citation statements)
references
References 23 publications
0
10
0
Order By: Relevance
“…The wind speed at which maximum power occurs is computed based on the power curves available at different wind speeds. Then P max [36] becomes…”
Section: Reference Current Generationmentioning
confidence: 99%
“…The wind speed at which maximum power occurs is computed based on the power curves available at different wind speeds. Then P max [36] becomes…”
Section: Reference Current Generationmentioning
confidence: 99%
“…This sensor FDI method however needs the Takagi-Sugeno fuzzy state observers which are hard to design. The authors in [7] propose a method with modelbased neural network (NN) observers to estimate current or voltage, which is later compared to sensor signals for the FDI in a permanent magnet synchronous machine (PMSM)-based wind energy system. A backpropagation algorithm is used here for training the NN.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, fault-tolerant systems have attracted lots of interests in recent years [2][3][4][5]. Reliability calculations in power electronic systems are considered [6] and many solutions have been proposed to make power electronic converters and drive systems more reliable and fault tolerant [7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%