Tackling the Simulation of Multibody Rotorcraft Models in Maneuvering Flight by Parameter Identification

n this work, we explore time-domain parameter identification approaches to generate reduced models of a comprehensive UH-60-like multibody model. Data required for the identification are gathered performing a few virtual experiments, in which the full system is perturbed about the hover condition, in either open-loop or closed-loop conditions. We validate the identified reduced models against a different set of experiments, discussing the main drawbacks of the employed methods. Moreover, we show some preliminary tracking results, where the comprehensive model is steered along a Category A continued take-off maneuver by a simple LQR controller synthesized from the identified models.