LPV Control for the Full Region Operation of a Wind Turbine Integrated with Synchronous Generator

Cao, Guoyan; Grigoriadis, Karolos; Nyanteh, Yaw D.

doi:10.1155/2015/638120

Cited by 12 publications

(9 citation statements)

References 24 publications

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“…The scaling matrices are given by Equation (17) and w Tdiag (s) has been selected as it is shown in Equation (18). …”

Section: So(s) Is the Output Sensitivity Transfer Matrix To(s) Is Thmentioning

confidence: 99%

“…Therefore, more advanced multivariable control strategies are necessary for wind turbines. This has been a field of interest as it is reported by several works developing different multivariable control methodologies: from traditional decentralized PID controllers [6] to more advanced techniques, such as fuzzy logic controllers [7,8], neural network-based controls [9,10], model predictive controls [11,12], robust H ∞ controls [13], optimal linear quadratic Gaussian (LQG) controls [14,15], linear parameter varying (LPV) controls [16,17], and nonlinear controls [18,19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…The scaling matrices are given by Equation (17) and w Tdiag (s) has been selected as it is shown in Equation (18). …”

Section: So(s) Is the Output Sensitivity Transfer Matrix To(s) Is Thmentioning

confidence: 99%

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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“…In dynamic simplified decoupling, n elements of the decoupler, generally the diagonal ones, are set to unity. For a 2 Â 2 system, the general expressions of the decoupler, D(s), and the corresponding diagonal apparent process, Q(s), are cited in [26] and shown in (7)(8)…”

Section: Dynamic Simplified Decouplingmentioning

confidence: 99%

“…button is clicked. By expression (7), the dynamic simplified decoupling matrix shown in (19) is obtained. As mentioned before, this matrix can be observed by clicking on the Decoupling matrix info.…”

Section: Illustrative Examplementioning

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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“…In many practical multiagent systems, agents often exhibit time-varying dynamics due to the variation in some endogenous or exogenous parameters, which are bounded and measurable in real time. Such physical systems can be modeled and controlled, in principle, by means of the well developed tools from linear parameter-varying (LPV) systems theory [8][9][10][11]. There has been a very limited work dedicated to multiagent LPV systems.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Output Regulation of Multiagent Linear Parameter‐Varying Systems

Mesbahi

Velni

2017

Mathematical Problems in Engineering

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The output regulation problem is examined in this paper for a class of heterogeneous multiagent systems whose dynamics are governed by polytopic linear parameter-varying (LPV) models. The dynamics of the agents are decoupled from each other but the agents’ controllers are assumed to communicate. To design the cooperative LPV controllers, analysis conditions for closed-loop system are first established to ensure stability and reference tracking. Then, the LPV control synthesis problem is addressed, where the offline solution to a time-varying Sylvester equation will be used to determine and update in real time the controller state-space matrices. Two numerical examples will be finally given to demonstrate the efficacy of the proposed cooperative design method.

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LPV Control for the Full Region Operation of a Wind Turbine Integrated with Synchronous Generator

Cited by 12 publications

References 24 publications

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

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

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

Cooperative Output Regulation of Multiagent Linear Parameter‐Varying Systems

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