Linear Model of a Turboshaft Aero-Engine Including Components Degradation for Control-Oriented Applications

Teresa Castiglione, Diego Perrone, Luciano Strafella, Antonio Ficarella and Sergio Bova ()
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Teresa Castiglione: Department of Mechanical Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Diego Perrone: Department of Mechanical Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Luciano Strafella: Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy
Antonio Ficarella: Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy
Sergio Bova: Department of Mechanical Energy and Management Engineering, University of Calabria, 87036 Rende, Italy

Energies, 2023, vol. 16, issue 6, 1-18

Abstract: The engine fuel control system plays a crucial role in engine performance and fuel economy. Fuel control, in traditional engine control systems, is carried out by means of sensor-based control methods, which correct the fuel flow rate through correlations or scheduled parameters in order to reduce the error between a measured parameter and its desired value. In the presence of component degradation, however, the relationship between the engine measurable parameters and performance may lead to an increase in the control error. In this research, linear models for advanced control systems and for direct fuel control in the presence of components degradation are proposed, with the main objective being to directly predict and correct fuel consumption in the presence of degradation instead of adopting measurable parameters. Two techniques were adopted for model linearization: Small Perturbation and System Identification. Results showed that both models are characterized by high accuracy in predicting the output engine variables, with the mean errors between model prediction and data below 1%. The maximum errors, recorded for shaft power, were about 6% for Small Perturbation and lower than 3% for System Identification. A simple correlation between engine performance and components degradation was also demonstrated; in particular, the achieved results allow one to conclude that the Small Perturbation approach is the best candidate for controller development when a prediction of components degradation is included.

Keywords: turbo-shaft engine model; gas turbine linear models; compressor degradation; small perturbation; system identification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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