Robust Nonlinear Control of a Wind Turbine with a Permanent Magnet Synchronous Generator

Cuauhtemoc Acosta Lúa, Domenico Bianchi, Salvador Martín Baragaño, Mario Di Ferdinando and Stefano Di Gennaro ()
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Cuauhtemoc Acosta Lúa: Centro Universitario de la Ciénega, Universidad de Guadalajara, Av. Universidad Numero 1115, Col. Lindavista, Ocotlán 47820, Jalisco, Mexico
Domenico Bianchi: Center of Excellence DEWS, University of L’Aquila Via Vetoio, Loc. Coppito, 67100 L’Aquila, Italy
Salvador Martín Baragaño: Center of Excellence DEWS, University of L’Aquila Via Vetoio, Loc. Coppito, 67100 L’Aquila, Italy
Mario Di Ferdinando: Center of Excellence DEWS, University of L’Aquila Via Vetoio, Loc. Coppito, 67100 L’Aquila, Italy
Stefano Di Gennaro: Center of Excellence DEWS, University of L’Aquila Via Vetoio, Loc. Coppito, 67100 L’Aquila, Italy

Energies, 2023, vol. 16, issue 18, 1-19

Abstract: This paper addresses the design of a robust nonlinear dynamic controller for a wind turbine. The turbine is equipped with a permanent magnet synchronous generator. The control problem involves tracking a suitable reference value for the turbine’s angular velocity, which corresponds to the wind speed. This issue is tackled by compensating for variations in the electrical and mechanical parameters present in the mathematical model. Additionally, the problem is approached under the assumption that wind speed cannot be directly measured, a fact verified in practical scenarios. This situation is particularly relevant for real-world applications, where only nominal parameter values are accessible and accurate wind speed measurement is challenging due to disturbances caused by the turbine or other factors, despite the use of appropriate sensors. To achieve precise tracking of the angular velocity reference, effective compensation of perturbation terms arising from parameter uncertainties and errors in wind estimation becomes crucial. To address this problem, a wind velocity estimator is employed in conjunction with high-order sliding mode parameter estimators, ensuring the turbine’s operation attains a high level of performance.

Keywords: wind turbine; nonlinear control; parameter variations; high-order sliding mode (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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