This paper proposes a fuzzy modelling and identification approach oriented to the design of a PI fuzzy controller for regulating both the pitch angle and the reference torque of a wind turbine model. This strategy has been suggested for enhancing the regulator design that could represent an alternative to the standard switching controller, already implemented in the wind turbine test system. The controller project requires the knowledge of the dynamic model of the wind turbine, which is achieved by means of a fuzzy modelling and identification scheme. On the other hand, the proposed PI fuzzy controller structure is straightforward and easy to implement with respect to different strategies proposed in literature. Moreover, by means of these design procedures, the proposed strategy is also able to provide a robust and reliable controller. The results obtained with the designed PI fuzzy controller are compared to those of a switching controller already implemented for the wind turbine benchmark.

Data-Driven Design of a PI Fuzzy Controller for a Wind Turbine Simulated Model

SIMANI, Silvio
2012

Abstract

This paper proposes a fuzzy modelling and identification approach oriented to the design of a PI fuzzy controller for regulating both the pitch angle and the reference torque of a wind turbine model. This strategy has been suggested for enhancing the regulator design that could represent an alternative to the standard switching controller, already implemented in the wind turbine test system. The controller project requires the knowledge of the dynamic model of the wind turbine, which is achieved by means of a fuzzy modelling and identification scheme. On the other hand, the proposed PI fuzzy controller structure is straightforward and easy to implement with respect to different strategies proposed in literature. Moreover, by means of these design procedures, the proposed strategy is also able to provide a robust and reliable controller. The results obtained with the designed PI fuzzy controller are compared to those of a switching controller already implemented for the wind turbine benchmark.
2012
9783902823182
Fuzzy modelling and identification; control system design; PI regulator; nonlinear systems; wind turbine benchmark
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1693696
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