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State Vector Identification of Hybrid Model of a Gas Turbine by Real-Time Kalman Filter

A model and real-time simulation of a gas turbine engine (GTE) by real-time tasks (RTT) is presented. A Kalman filter is applied to perform the state vector identification of the GTE model. The obtained algorithms are recursive and multivariable; for this reason, ANSI C libraries have been developed...

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Autori principali: Gustavo Delgado-Reyes, Pedro Guevara-Lopez, Igor Loboda, Leobardo Hernandez-Gonzalez, Jazmin Ramirez-Hernandez, Jorge-Salvador Valdez-Martinez, Asdrubal Lopez-Chau
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2020-04-01
Serie:Mathematics
Soggetti:
gas turbine model
Kalman filter
real-time
identification
single board computer
time constraints
Accesso online:https://www.mdpi.com/2227-7390/8/5/659
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