DocumentCode :
2111758
Title :
Propulsion directorate/control and engine health management (CEHM): real-time turbofan engine simulation
Author :
Curry, Tramone ; Behbahani, Alireza
Author_Institution :
Coll. of Eng., Florida A&M Univ., Tallahassee, FL, USA
Volume :
5
fYear :
2004
fDate :
6-13 March 2004
Firstpage :
3414
Abstract :
As the interest in intelligent engine technology increases so does the demand for advanced methods of engine model simulation. Undoubtedly, this element is very cost effective, in that, it can decrease test and experimentation hours significantly. In order to extract more meaningful information for analysis, model simulation must be conducted in a real-time environment. The modular aero-propulsion system simulation (MAPSS) is a generic turbofan engine simulation derived from FORTRAN-based coding developed at NASA Glenn Research Center. It is a non-real time, multi-rate system composed of the controller and actuator dynamics (CAD) and component level model (CLM) modules, representing the digital controller and engine, respectively. This work discusses the implementation and simulation of the MAPSS model in a real-time environment. The controller and engine are loaded on two separate simulators with data transfer between the two systems via a set of electrical cables. This analysis platform encompasses all of the aspects of a real-time environment with plant and sensor noise. The real-time implementation is validated against the non-real time simulation through transient and steady-state conditions. Key parameters of comparison are the three states of the engine, low pressure spool speed (XNL), high pressure spool speed (XNH), and core metal temperature (TMPC), and burner fuel flow (WF36) and net thrust (FN). It is observed with each parameter that the average percent error is less than 1%. Thus, a successful real-time implementation is achieved while maintaining a high degree of accuracy. The model´s behavior now approximates a real gas turbine and provides an ideal test bed for observing faults and failures, engine parameter variations, and degradation over time. This in turn provides a valuable tool in observing the symptoms of failure, developing diagnostics routines, and improving prognostic algorithms.
Keywords :
aerospace computing; aerospace control; aerospace simulation; jet engines; real-time systems; FORTRAN-based coding; NASA Glenn Research Center; analysis platform; burner fuel flow; component level model; control and engine health management; controller and actuator dynamics; core metal temperature; data transfer; degradation; diagnostics routines; digital controller; electrical cables; engine model simulation; engine parameter variations; failure symptoms; gas turbine; intelligent engine; modular aero-propulsion system simulation; multi-rate system; net thrust; nonreal time system; plant noise; pressure spool speed; prognostic algorithms improvement; propulsion directorate; real-time implementation; real-time turbofan engine simulation; sensor noise; steady-state conditions; test bed; transient conditions; Actuators; Aerodynamics; Analytical models; Costs; Data mining; Engines; Information analysis; NASA; Propulsion; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2004. Proceedings. 2004 IEEE
ISSN :
1095-323X
Print_ISBN :
0-7803-8155-6
Type :
conf
DOI :
10.1109/AERO.2004.1368147
Filename :
1368147
Link To Document :
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