The method for aeroengines' state variable model(SVM)identification was implemented by using the linear relation of the variable of the differential equations
and separating the steady process and transient process to eliminate the steady errors coupled by transient process. Without solving the differential equations or using any iterative methods
the coefficient of the SVM could be acquired simply using matrix operation
so it has a higher computational efficiency than former least square method. And this method might also be combined with other identification method to realize better effect. Finally
to illustrate the validity and accuracy of the proposed method
a small perturbation SVM of some turbo-shaft engine model had been established through it
and the simulation results from the engine's state space model and nonlinear model were compared
and we can draw a conclusion that the SVM got by this method meets the dynamic and static objectives well
Aero-Engine Adaptive Model Re-Construction under Sensor Failure
Aero-Engine State Variable Modeling Based on the Genetic Algorithm
Development path and future trend of carrier-based advanced trainer engine
Thermal protection effectiveness of thermal barrier coatings in turbine blade applications
Aero-engine cycle design approach for multiple operating conditions performance reliability
Related Author
YUAN Chun-fei
YAO Hua
LI Qiu-hong
SUN Jian-guo
PENG Yunlong
WU Xiong
DING Ting
ZHU Jianqin
Related Institution
Aviation Motor Control System Institute, China Aviation Industry CorporationⅠ
College of Energy &amp Power EngineeringNanjing University of Aeronautics and Astronautics
National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics,School of Energy and Power Engineering,Beijing University of Aeronautics and Astronautics