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ERRATUM article

Front. Control Eng., 03 November 2023
Sec. Adaptive, Robust and Fault Tolerant Control

Erratum: Global versus local Lyapunov approach used in disturbance observer-based wind turbine control

  • Frontiers Media SA, Lausanne, Switzerland

An Erratum on
Global versus local Lyapunov approach used in disturbance observer-based wind turbine control

by Gauterin E, Pöschke F and Schulte H (2023). Front. Control. Eng. 3:787530. doi: 10.3389/fcteg.2022.787530

Due to a production error, the equation in section 2.2.1 Global Controller was incorrect.

Theincorrectequationwas:X:=P1=10X
Thecorrectequationis:X:=P1=Eq.10X

In section 3.2 Simulation Results: Disturbance Observer Variation, Resulting System Dynamics and Mechanical Loads, at the beginning of subsection Pole locations, Figure 5 instead of Figure 4 was incorrectly referenced.

Due to a production error, the equations in section Discussion, subsection Pole Locations were incorrect.

TheincorrectequationsweresP,iOL,3andsP,iOL,1/2
ThecorrectequationsaresP,iOL,1andsP,iOL,23

Due to a production error, the equation in section Error-feedback gains (page 16) was incorrect.

Theincorrectequationwas:Li¯Bw,j¯2wB,D>Li¯Bw,j¯2wG,I
Thecorrectequationis:Li¯BB,j¯2>Li¯BG,j¯2,Li¯BC,j¯2>Li¯BH,j¯2andLi¯BD,j¯2>Li¯BI,j¯2

Due a production error, the first paragraph in section Wind speed reconstruction and actuation signals was incorrect. You can find the correct paragraph below:

With the mitigated error-feedback gains LiBw,j, the reconstructed states x^_, especially the reconstructed wind speeds v^, are mitigated, too (see Eq. 711): While the reconstructed wind speed v^wt1 of a single and arbitrary time point t = t1 decreases steadily for the wind speed observer design with a local Lyapunov approach (i.e., v^Ft1v^Gt1>v^Ht1>v^It1>v^Jt110, see left column in Figure 6), the reconstructed wind speed v^wt1 for the wind speed observer design with a global Lyapunov approach decreases unsteadily (i.e., v^At1>v^Dt1>v^Et1>v^Ct1>v^Bt1, corresponding to the unsteady decrease of the mean Euclidean norm of the wind error state gains Li¯Bw,3¯2 of the global wind speed observers (with (w [A, E], see Table 3; i.e., Li¯BA,3¯2>Li¯BD,3¯2>Li¯BC,3¯2>Li¯BB,3¯2)10

In the same section, footnotes 12 and 13 were assigned incorrectly, and these have been replaced with footnote 10 in the updated article.

10The global and local wind speed observers E and J are not taken into account, because of their (closed-loop) pole locations, which are moved beyond the open-loop pole locations, as explained before in the subsection Pole locations.

Footnote 12 was also incorrect, the correct version is:

12with two exceptions for the tower side-to-side-bending moments SeqBTwrBsMxt<SeqJTwrBsMxt and SeqCTwrBsMxt<SeqJTwrBsMxt (see Figure 8B and line 7 in Table A9 as well as line 7 in Table A10.

Due to a production error, section Load Mitigation, paragraph number 3, appears to be interrupted and broken into two parts. This has been corrected into one single paragraph.

In the Appendix, part of section Specification of the LMI constraints was not included in the article. The corrected entire section appears below:

To calculate the mean Euclidian norm LiBw,j¯2 of the error-feedback gains LiBw,j [see (26)] and the average, mean Euclidian norm Li¯Bw,j¯2 [see (27)] the worksheet Uebersicht_L_Matrizen_Pitchwinkel-YYYY_MM_DD.xlsx is used.

In the Appendix, the section Load Analysis was not included in the article. This has now been added to the article, you can find it below:

Load analysis

For the ultimate loads maxw and fatigue loads Seqw resulting from five different wind speed observers (i.e., for the wA,E global wind speed observers and wA,E localwind speed observers; see Figure 8), the steady increase or decrease of the loads is evaluated separately for each of the two observer approaches (see Table A9) and in comparison to each other (see Table A10).

Due to a production error, Tables A9 and A10 in the Appendix were not included in the article, and the layout of Tables A1–A8 in the Appendix was incorrect. The corrected Tables are listed below:

The font color has been corrected in the table captions and in the body of the text, throughout the article.

The publisher apologizes for this mistake. The original version of this article has been updated.

TABLE A1
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TABLE A1. States of the i steady state operations points OPi of the NREL FAST 5MW reference wind turbine with the wind speed vc,i, rotor rotational speed ωR,c,i, generator torque TG,c,i and pitch angle βc,i.

TABLE A2
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TABLE A2. State matrices AiB and augmented state matrices ÃiB of the Blade model (for the submodels i ∈ [15,18]).

TABLE A3
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TABLE A3. Input matrices BiB and augmented input matrices B̃iB of the Blade model (for the submodels i ∈ [15,18]).

TABLE A4
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TABLE A4. Common output matrix CB and augmented common output matrix C̃B of the Blade model (for all submodels).

TABLE A5
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TABLE A5. Steady states x̲c,iB and augmented steady states x̲̃c,iB of the Blade model (for the submodels i ∈ [15,18]).

TABLE A6
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TABLE A6. Steady state pitch angle βc,i and generator torque TG,i (for the submodels i ∈ [15,18]).

TABLE A7
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TABLE A7. State feedback matrices KiR of the (rigid body) Rotion drive train model (for the submodels i ∈ [15,18]).

TABLE A8
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TABLE A8. Error state feedback gain matrices LiBw,j of the blade model based wind speed observers B for:- global Lyapunov approach with wA,E- local Lyapunov approach with wF,J- submodels i ∈ [15,18]- matrix elements j ∈ [1,3].

TABLE A9
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TABLE A9. Analysis of the ultimate loads maxw and fatigue loads Seqw resulting from five different wind speed observers regarding the steady increase or decrease of the loads (evaluated separately for each of the two Lyapunov approaches with wA,E for the global wind speed observers and with wF,J for the local wind speed observers; based on the loads depicted in Figure 8).

TABLE A10
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TABLE A10. Analysis of the ultimate loads maxw and fatigue loads Seqw resulting from five different wind speed observers regarding the steady increase or decrease of the loads (comparing both Lyapunov approaches with each other with wA,E for the global wind speed observers and with wF,J for the local wind speed observers; based on the loads depicted in Figure 8).

Keywords: global and local Lyapunov approach, Takagi–Sugeno framework, model-based controller and observer design, feedforward-feedback control, linear-matrix-inequality and pole region-based controller design, wind turbine application, elaborated wind turbine simulation model, load analysis

Citation: Frontiers Production Office (2023) Erratum: Global versus local Lyapunov approach used in disturbance observer-based wind turbine control. Front. Control. Eng. 4:1279811. doi: 10.3389/fcteg.2023.1279811

Received: 18 August 2023; Accepted: 18 August 2023;
Published: 03 November 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

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