Integrated Verification Technology and Application for Aero-Engine Functional Model Design and Simulation

The simulation verification of functional model systems still runs into a familiar set of obstacles: the link to the original design tends to break, models drawn from different sources are hard to unify, and the confidence in the results is often hard to defend. This paper proposes an integrated design-verification technology framework for functional models to address these issues and to provide a basis for application research. The framework rests on three core technologies. The first is an automatic design-simulation connection built on metamodel mapping, which converts a SysML design model into a simulation model and feeds results back in both directions. The second unifies multi-source heterogeneous models under the FMI standard, using a standardized encapsulation process to make multi-domain co-simulation workable. The third performs automatic model correction through multi-objective intelligent optimization, giving the simulation models an automatic calibration loop that raises confidence. The approach was applied to a particular aero-propulsion system: the functional model was built first, multidisciplinary analyses were then integrated, and the result was checked against measured data. The application shows a seamless design-simulation connection, keeps the error of key parameters below 5% in real time, and markedly improves the automation level, integration efficiency, and model accuracy of the simulation process..