Wind turbine control using T-S systems with nonlinear consequent parts

Hoda Moodi and Danyal Bustan

Energy, 2019, vol. 172, issue C, 922-931

Abstract: In this paper, a novel T-S model with nonlinear consequent parts is introduced for the variable speed, variable pitch wind turbine. Because there is an inherent uncertainty in wind speed measurement, a fuzzy observer is proposed to estimate the effective wind speed, acting on the turbine's blades. Then, a robust H∞ observer based fuzzy controller is designed to control the turbine using the estimated wind speed. Also, two artificial neural networks are used to accurately model the aerodynamic curves. In contrast to traditional controllers, which have different control schemes for different working regions, in this paper, only one controller is used for all operating regions of the wind turbine. As the main goal of a wind turbine is to maximize energy production and minimize mechanical loads concurrently, in addition to rotor dynamics, blade and tower dynamics are taken into account. To show the effectiveness of the proposed controller, simulations are performed on a 5 MW wind turbine simulator, in different wind profiles. Results show that compared with standard baseline controller, whilst power generation is improved, mechanical loads are reduced considerably.

Keywords: Blade and tower dynamics; Blade pitch angle control; Rotor speed control; Takagi-sugeno model; Wind speed observer; Wind turbine (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:172:y:2019:i:c:p:922-931

DOI: 10.1016/j.energy.2019.01.133

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