Designing an Adaptive Fuzzy Controller for Maximum Wind Energy Extraction

Galdi, Vincenzo; Piccolo, Antonio; Siano, Pierluigi

doi:10.1109/tec.2007.914164

Cited by 159 publications

(58 citation statements)

References 24 publications

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“…It requires a pre-recorder relation between the rotor speed and the optimal power. In [45] a fuzzy logic based PSF controller is designed for a doubly fed induction generator. The data driven design methodology is capable of generate a Takagi-Sugeno-Kang fuzzy model for maximum power extraction.…”

Section: Power Signal Feedback (Psf)mentioning

confidence: 99%

Overall Description of Wind Power

Lemus

Serna

2014

ing.cienc.

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Section: Power Signal Feedback (Psf)mentioning

confidence: 99%

Overall Description of Wind Power

Lemus

Serna

2014

ing.cienc.

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“…A disturbance torque observer is designed in order to obtain the torque. A fuzzy logic based PSF controller is presented in [26]. Here, a data driven design methodology capable of generating a Takagi-Sugeno-Kang (TSK) fuzzy model for maximum power extraction is proposed.…”

Section: Power Signal Feedback Controlmentioning

confidence: 99%

MPPT Control Methods in Wind Energy Conversion Systems

Thongam¹,

Ouhrouche²

2011

Fundamental and Advanced Topics in Wind Power

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“…[7], this paper suggests an off-line identification approach, without any on-line optimisation schemes, thus enhancing real-time implementations. Note also that the works by the same authors, see e.g.…”

Section: Introductionmentioning

confidence: 99%

Robust Control Examples Applied to a Wind Turbine Simulated Model

Simani¹,

Castaldi²

2017

Preprint

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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 modelling and control become challenging problems. On one hand, high-fidelity simulators should contain different parameters and variables in order to accurately describe the main dynamic system behaviour. Therefore, the development of modelling 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 development of robust control strategies when applied to a simulated wind turbine plant. Experiments with the wind turbine simulator and the Monte-Carlo tools 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.

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Designing an Adaptive Fuzzy Controller for Maximum Wind Energy Extraction

Cited by 159 publications

References 24 publications

Overall Description of Wind Power

Overall Description of Wind Power

MPPT Control Methods in Wind Energy Conversion Systems

Robust Control Examples Applied to a Wind Turbine Simulated Model

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