The control problem of a wind system considered as an isolate source of power has been taken into account. The wind system is composed of a horizontal-axis wind-turbine connected to synchronous generator. In order to simulate the dynamic behavior of wind system, appropriate mathematical models for both the horizontal-axis wind-turbine and the synchronous generator have been considered. The proposed control algorithm relies on the fuzzy logic framework exploiting the knowledge of few steady state working conditions (control input - controlled output value pairs). The fuzzy logic scheme, not only properly combines the knowledge within the working point data set, but it also is able to consider the controlled variable deviation (control tracking error) and its first time derivative. Then few results of control problems are finally illustrate in order to prove the reliability of the suggested enhanced control technique.

Data-based fuzzy logic control tenchnique appied to a wind turbine - Synchronous generator system / Dambrosio, Lorenzo. - STAMPA. - 2191:(2019). (Intervento presentato al convegno 74th Conference of the Italian Thermal Machines Engineering Association, ATI 2019 tenutosi a Modena, Italy nel September 11-13, 2019) [10.1063/1.5138786].

Data-based fuzzy logic control tenchnique appied to a wind turbine - Synchronous generator system

Lorenzo Dambrosio
2019-01-01

Abstract

The control problem of a wind system considered as an isolate source of power has been taken into account. The wind system is composed of a horizontal-axis wind-turbine connected to synchronous generator. In order to simulate the dynamic behavior of wind system, appropriate mathematical models for both the horizontal-axis wind-turbine and the synchronous generator have been considered. The proposed control algorithm relies on the fuzzy logic framework exploiting the knowledge of few steady state working conditions (control input - controlled output value pairs). The fuzzy logic scheme, not only properly combines the knowledge within the working point data set, but it also is able to consider the controlled variable deviation (control tracking error) and its first time derivative. Then few results of control problems are finally illustrate in order to prove the reliability of the suggested enhanced control technique.
2019
74th Conference of the Italian Thermal Machines Engineering Association, ATI 2019
978-0-7354-1938-4
Data-based fuzzy logic control tenchnique appied to a wind turbine - Synchronous generator system / Dambrosio, Lorenzo. - STAMPA. - 2191:(2019). (Intervento presentato al convegno 74th Conference of the Italian Thermal Machines Engineering Association, ATI 2019 tenutosi a Modena, Italy nel September 11-13, 2019) [10.1063/1.5138786].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/206464
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