Configurable Parametric Aeroservoelastic-Gust Reduced-Order Models with State-Consistence Enforcement

Parametric reduced-order models (ROMs) across various flight regimes are crucial for rapid aeroelastic and gust load analysis and aerostructure control synthesis. This paper presents a comprehensive framework that combines hierarchically composable ROM approaches, the state-consistence enforced autoregressive with exogenous (SCE-ARX) technique, and a genetic algorithm (GA) for automated development of configurable parametric aeroservoelastic-gust (ASEG) ROMs. Our approach is based on the principle of superposition. It simultaneously models the interaction among aerodynamics, control surfaces, gust load, and structural dynamics, representing a significant level of complexity for aerostructural ROM development. Specifically, two hierarchical approaches, top-down and bottom-up, are presented to assemble ROMs from various physics domains, such as ASEG, aeroservoelastic, aeroelastic with gust, and aeroelastic, without the need to regenerate models or training data. The SCE-ARX method is combined with GA-guided ROM hyperparameter optimization to enhance ROM interpolation and accuracy. This framework is used to construct parametric ROM databases at selected flight conditions, which can be interpolated to any interstitial conditions, accommodating ASEG modeling over a broad flight parameter space. The top-down approach with GA-guided SCE-ARX demonstrates the best performance for parametric ROM development.