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Appl. Sci. 2018, 8(1), 29;

Robust Control Examples Applied to a Wind Turbine Simulated Model

Dipartimento di Ingegneria, Università degli Studi di Ferrara, Via Saragat 1E, 44122 Ferrara, Italy
Dipartimento di Ingegneria dell’Energia Elettrica e dell’Informazione “Guglielmo Marconi”—DEI, Alma Mater Studiorum Università di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Author to whom correspondence should be addressed.
Received: 25 November 2017 / Revised: 16 December 2017 / Accepted: 19 December 2017 / Published: 26 December 2017
(This article belongs to the Special Issue Renewable Energy 2018)
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Wind turbine plants are complex dynamic and uncertain processes driven by stochastic inputs and disturbances, as well as different loads represented by gyroscopic, centrifugal and gravitational forces. Moreover, as their aerodynamic models are nonlinear, both modeling and control become challenging problems. On the one hand, high-fidelity simulators should contain different parameters and variables in order to accurately describe the main dynamic system behavior. Therefore, the development of modeling and control for wind turbine systems should consider these complexity aspects. On the other hand, these control solutions have to include the main wind turbine dynamic characteristics without becoming too complicated. The main point of this paper is thus to provide two practical examples of the development of robust control strategies when applied to a simulated wind turbine plant. Extended simulations with the wind turbine benchmark model and the Monte Carlo tool represent the instruments for assessing the robustness and reliability aspects of the developed control methodologies when the model-reality mismatch and measurement errors are also considered. Advantages and drawbacks of these regulation methods are also highlighted with respect to different control strategies via proper performance metrics. View Full-Text
Keywords: wind turbine simulator; data-driven and model-based approaches; fuzzy identification; on-line estimation; robustness and reliability wind turbine simulator; data-driven and model-based approaches; fuzzy identification; on-line estimation; robustness and reliability

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Simani, S.; Castaldi, P. Robust Control Examples Applied to a Wind Turbine Simulated Model. Appl. Sci. 2018, 8, 29.

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