Recursive least squares for online dynamic identification on gas turbine engines

摘要

ONLINE identification for a gas turbine engine is vital for healthmonitoring and control decisions because the engine electroniccontrol system uses the identified model to analyze the performancefor optimization of fuel consumption, a response to the pilotcommand, as well as engine life protection. Since a gas turbine engineis a complex system and operating at variant working conditions, itbehaves nonlinearly through different power transition levels and atdifferent operating points. An adaptive approach is required to capturethe dynamics of its performance.