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dc.contributor.author
Lepetic, Marko
dc.contributor.author
Skrjanc, Igor
dc.contributor.author
Chiacchiarini, Hector Gerardo
dc.contributor.author
Matko, Drago
dc.date.available
2020-05-01T21:42:30Z
dc.date.issued
2003-08
dc.identifier.citation
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
dc.identifier.issn
0952-1976
dc.identifier.uri
http://hdl.handle.net/11336/104083
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
FUZZY IDENTIFICATION
dc.subject
PREDICTIVE CONTROL
dc.subject
REAL-TIME CONTROL
dc.subject.classification
Sistemas de Automatización y Control
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Predictive functional control based on fuzzy model: magnetic suspension system case study
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-04-24T16:07:13Z
dc.journal.volume
16
dc.journal.number
5-6
dc.journal.pagination
425-430
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Lepetic, Marko. University of Ljubljana; Eslovenia
dc.description.fil
Fil: Skrjanc, Igor. University of Ljubljana; Eslovenia
dc.description.fil
Fil: Chiacchiarini, Hector Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; Argentina
dc.description.fil
Fil: Matko, Drago. University of Ljubljana; Eslovenia
dc.journal.title
Engineering Applications Of Artificial Intelligence
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S095219760300071X?via%3Dihub
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/S0952-1976(03)00071-X
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