Gas Turbine Modeling for Diagnosis and Control
Supervision of performance in gas turbine applications is important in
order to achieve: (i) reliable operations, (ii) low heat stress in
components, (iii) low fuel consumption, and (iv) efficient overhaul
and maintenance. To obtain good diagnosis performance it is important
to have tests which are based on models with high accuracy. A main
contribution is a systematic design procedure to construct a fault
detection and isolation (FDI) system for complex nonlinear models. To
fulfill the requirement of an automated design procedure, a
thermodynamic gas turbine package GTLib is developed. Using the GTLib
framework, a gas turbine diagnosis model is constructed where
component deterioration is introduced. In the design of the test
quantities, equations from the de- veloped diagnosis model are
carefully selected. These equa- tions are then used to implement a
Constant Gain Extended Kalman filter (CGEKF) based test quantity. The
test quan- tity is used in the FDI-system to supervise the performance
and in the controller to estimate the flame temperature. An evaluation
is performed using experimental data from a gas turbine site. The case
study shows that the designed FDI-system can be used when the
decision about a compressor wash is taken. Thus, the proposed model
based design proce- dure can be considered when an FDI-system of an
industrial gas turbine is constructed.
Emil Larsson, Jan Åslund, Erik Frisk and Lars Eriksson
Journal of Engineering for Gas Turbines and Power,
2014
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