2007 Mediterranean Conference on Control &Amp; Automation 2007
DOI: 10.1109/med.2007.4433869
|View full text |Cite
|
Sign up to set email alerts
|

A disturbance decoupling nonlinear control law for variable speed wind turbines

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
9
0

Year Published

2008
2008
2020
2020

Publication Types

Select...
6
2
1

Relationship

1
8

Authors

Journals

citations
Cited by 23 publications
(9 citation statements)
references
References 8 publications
0
9
0
Order By: Relevance
“…• Simplified model of aerodynamics and wind field • Prediction of future loads based on local inflow measurements Simplified models of both the aerodynamics and the wind field are usually used when designing collective pitch controllers for wind turbines (See eg. Xin (1997), Thomsen and Poulsen (2007)). These models do not carry enough spatial information such that individual pitch controllers can be designed.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…• Simplified model of aerodynamics and wind field • Prediction of future loads based on local inflow measurements Simplified models of both the aerodynamics and the wind field are usually used when designing collective pitch controllers for wind turbines (See eg. Xin (1997), Thomsen and Poulsen (2007)). These models do not carry enough spatial information such that individual pitch controllers can be designed.…”
Section: Methodsmentioning
confidence: 99%
“…In most documented research the pitch of the blades are controlled collectively applying a wide variety of methods. This ranges from linear methods such as LQ, LQG, and H ∞ (Bossanyi (2003b), Xin (1997), Grimble (1996)) to adaptive techniques (Johnson et al (2006)) and nonlinear methods such as feedback linearization (Leith and Leithead (1997), Thomsen and Poulsen (2007)).…”
Section: Introductionmentioning
confidence: 99%
“…Similar decoupling approaches have been investigated in [12] and [13]. Both use an input-output linearisation of the system with uncertainties acting only on the internal dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…Among the other advanced control techniques used for the variable speed control of WTs (wind turbines); adaptive algorithm [11], nonlinear control for power regulation [30], decoupling nonlinear control law for disturbance rejection [31], adaptive control of DFIG based WT [32], and a comparison between linear and nonlinear control methods [17,33] have been carried out. Also, model predictive control of WT in small power systems [34], power curve control in micro wind turbine design [35] and combined predictive control with LMI (linear matrix inequalities) based on TeS fuzzy model of WT [36] have been presented.…”
Section: Introductionmentioning
confidence: 99%