Effect of Operating Point Selection on Non-linear Experimental Identification of iSTC–21v and TKT–1 Small Turbojet Engines

Precise dynamic mathematical models of complex systems are important in control and diagnostic systems design and allow testing a complex system in virtual environment at a low cost. They can be also utilized in rapid prototyping using a concept of hardware in the loop. Ever improving methods of exp...

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Bibliographic Details
Published inPeriodica polytechnica. Transportation engineering Vol. 45; no. 3; p. 141
Main Authors Főző, Ladislav, Andoga, Rudolf, Beneda, Károly, Kolesár, Jan
Format Journal Article
LanguageEnglish
Published Budapest Periodica Polytechnica, Budapest University of Technology and Economics 01.07.2017
Subjects
Approximation
Complex systems
Control systems
Flow velocity
Identification methods
Mass flow rate
Mathematical analysis
Nonlinear dynamics
Prototyping
Rapid prototyping
Systems design
Three dimensional models
Turbojet engines
Virtual environments
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Summary:Precise dynamic mathematical models of complex systems are important in control and diagnostic systems design and allow testing a complex system in virtual environment at a low cost. They can be also utilized in rapid prototyping using a concept of hardware in the loop. Ever improving methods of experimental identification and using approaches in non-linear approximation can considerably increase the precision of dynamic models of complex systems. The article deals with non-linear approximation of transfer gains of a complex system and evaluates the influence of operational point selection on precision of the resulting model using methods of experimental data driven identification. The object of control is represented by two similar small turbojet engines at the Departments of the authors, the iSTC-21v and TKT-1, both based on the same power section having two degrees of freedom: fuel mass flow rate and variable convergent nozzle position.
ISSN:0303-7800
1587-3811
DOI:10.3311/PPtr.10607