Comparative analysis of decoupling control methodologies and H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; multivariable robust control for VS-VP wind turbines

Fragoso, Sergio; Garrido, Juan; Vázquez, Francisco; Morilla, Fernando

doi:10.1109/irec.2015.7110966

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Thus, linear plant models were identified in different operating points in order to perform the control designs. The identification process and the transfer function matrices of the linear models can be consulted in . The linear models are defined according to , where G ( s ) is the process transfer matrix, and G D ( s ) is the disturbance matrix associated with the wind speed input v .…”

Section: Decoupling Controlmentioning

confidence: 99%

Educational software tool for decoupling control in wind turbines applied to a lab‐scale system

Fragoso

Ruz

Garrido

et al. 2016

Comp Applic In Engineering

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This paper presents an educational software tool, called wtControlGUI, whose main purpose is to show the applicability and performance of different decoupling control strategies in wind turbines. Nowadays, wind turbines are a very important field in control engineering. Therefore, from an educational point of view, the tool also aims to improve the learning of multivariable control concepts applied on this field. In addition, wtControlGUI allows for testing and controlling of a lab-scale system which emulates the dynamic response of a large-scale wind turbine. The designed graphical user interface essentially allows simulation and experimental testing of decoupling networks and other multivariable methodologies, such as robust or decentralized control strategies. The tool is available for master degree students in control engineering. A survey was performed to evaluate the effectiveness of the proposed tool when it is used in educational related tasks. ß 2016 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:400-411, 2016; View this article online at wileyonlinelibrary.com/journal/cae;

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Section: Decoupling Controlmentioning

confidence: 99%

Educational software tool for decoupling control in wind turbines applied to a lab‐scale system

Fragoso

Ruz

Garrido

et al. 2016

Comp Applic In Engineering

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“…The study presented in this work is in line with this idea in the goal to improve the wind turbine performance by means of its control structure, concretely by means of decoupling control and H ∞ control. The initial simulation developments were introduced in [1] and here they are extended and applied to an experimental lab-scale system. The proposed controllers are designed for variable-speed, variable-pitch (VS-VP) wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Decoupling Control Methodologies and H∞ Multivariable Robust Control for Variable-Speed, Variable-Pitch Wind Turbines: Application to a Lab-Scale Wind Turbine

et al. 2017

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This work is focused on the improvement of variable-speed variable-pitch wind turbine performance by means of its control structure. This kind of systems can be considered as multivariable nonlinear processes subjected to undesired interactions between variables and presenting different dynamics at different operational zones. This interaction level and the dynamics uncertainties complicate the control system design. The aim of this work is developing multivariable controllers that cope with such problems. The study shows the applicability of different decoupling methodologies and provides a comparison with a H ∞ controller, which is an appropriate strategy to cope with uncertainties. The methodologies have been tested in simulation and verified experimentally in a lab-scale wind turbine. It is demonstrated that the wind turbine presents more interaction at the transition zone. Then, this operational point is used as the nominal one for the controller designs. At this point, decoupling controllers obtain perfect decoupling while the H ∞ control presents important interaction in the generated power loop. On the other hand, they are slightly surpassed by the robust design at other points, where perfect decoupling is not achieved. However, decoupling controllers are easier to design and implement, and specifically dynamic simplified decoupling achieve the best global response. Then, it is concluded that the proposed methodologies can be considered for implantation in industrial wind turbines to improve their performance.

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Comparative analysis of decoupling control methodologies and H<inf>∞</inf> multivariable robust control for VS-VP wind turbines

Cited by 2 publications

References 12 publications

Educational software tool for decoupling control in wind turbines applied to a lab‐scale system

Educational software tool for decoupling control in wind turbines applied to a lab‐scale system

Comparative Analysis of Decoupling Control Methodologies and H∞ Multivariable Robust Control for Variable-Speed, Variable-Pitch Wind Turbines: Application to a Lab-Scale Wind Turbine

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