Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4498
Título: Fuzzy, integer and fractional-order control: Application on a wind turbine benchmark model
Autor: Viveiros, Carla Solange Pires Correia
Melício, Rui
Igreja, José Manuel Prista do Valle Cardoso
Mendes, Víctor Manuel Fernandes
Palavras-chave: Comparison
Fractional-order control
Fuzzy controller
Integer order control
Proportional integral
Wind turbine
Data: 13-Nov-2014
Editora: IEEE - Institute of Electrical and Electronics Engineers Inc.
Citação: VIVEIROS, Carla Solange Pires Correia; MELÍCIO, Rui; IGREJA, José Manuel do Valle Cardoso; MENDES, Victor Manuel Fernandes - Fuzzy, integer and fractional-order control: Application on a wind turbine benchmark model. 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014. ISBN 978-147995081-2. (2014), pp. 252-257
Relatório da Série N.º: ;6957360
Resumo: This paper presents a comparison between proportional integral control approaches for variable speed wind turbines. Integer and fractional-order controllers are designed using linearized wind turbine model whilst fuzzy controller also takes into account system nonlinearities. These controllers operate in the full load region and the main objective is to extract maximum power from the wind turbine while ensuring the performance and reliability required to be integrated into an electric grid. The main contribution focuses on the use of fractional-order proportional integral (FOPI) controller which benefits from the introduction of one more tuning parameter, the integral fractional-order, taking advantage over integer order proportional integral (PI) controller. A comparison between proposed control approaches for the variable speed wind turbines is presented using a wind turbine benchmark model in the Matlab/Simulink environment. Results show that FOPI has improved system performance when compared with classical PI and fuzzy PI controller outperforms the integer and fractional-order control due to its capability to deal with system nonlinearities and uncertainties. © 2014 IEEE.
Peer review: yes
URI: http://hdl.handle.net/10400.21/4498
DOI: 10.1109/MMAR.2014.6957360
ISBN: 978-147995081-2
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6957360
Aparece nas colecções:ISEL - Eng. Electrotécn. - Artigos

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