Conference Proceeding

Turbine system identification: experimental results

Rensselaer Polytech. Inst., Troy, NY
01/1995; DOI:10.1109/CDC.1994.411707 pp.3593 - 3595 vol.4 In proceeding of: Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on, Volume: 4
Source: IEEE Xplore

ABSTRACT A series of tests were conducted on a land based GE gas turbine to
determine its dynamic characteristics. At each operating point, models
were evaluated on the basis of how well they fit two different sets of
data. The data differed in the way the excitation signal entered the
system. The objective was to obtain an accurate transient model of the
turbine that could be used for controller design. The results show that
least squares identification is an effective method for accurately
modeling gas turbine systems. This paper gives an brief overview of the
results

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Keywords

accurate transient model
 
controller design
 
excitation signal
 
GE gas turbine
 
modeling gas turbine systems
 
operating point
 
squares identification