Artículo

Predictive functional control based on fuzzy model: magnetic suspension system case study

Lepetic, Marko; Skrjanc, Igor; Chiacchiarini, Hector GerardoIcon ; Matko, Drago
Fecha de publicación: 08/2003
Editorial: Elsevier Science
Revista: Engineering Applications Of Artificial Intelligence
ISSN: 0952-1976
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

Fuzzy model based predictive functional controller (FPFC) is applied to the magnetic suspension system - a pilot plant for magnetic bearing. High quality control requirements are short settle time with a-periodical step response and zero steady-state error. Open loop unstable process was stabilised with linear lead compensator. The FPFC was used as a cascade controller. Due to some model uncertainties, the Takagi-Sugeno fuzzy model of stabilised system was obtained using fuzzy identification. Comparing to PID, it improved quality and robustness performance. With its computational efficiency, it proved to be ideal solution for high sampling frequency.
Palabras clave: FUZZY IDENTIFICATION , PREDICTIVE CONTROL , REAL-TIME CONTROL
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/104083
URL: https://www.sciencedirect.com/science/article/abs/pii/S095219760300071X?via%3Dih
DOI: http://dx.doi.org/10.1016/S0952-1976(03)00071-X
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Articulos(IIIE)
Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"
Citación
Lepetic, Marko; Skrjanc, Igor; Chiacchiarini, Hector Gerardo; Matko, Drago; Predictive functional control based on fuzzy model: magnetic suspension system case study; Elsevier Science; Engineering Applications Of Artificial Intelligence; 16; 5-6; 8-2003; 425-430
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