Data-Driven Modeling for Rotor State Feedback Simulation

Advanced flight controls for rotorcraft may benefit from the use of rotor state feedback, as a means of improving vehicle dynamic response, augmenting stability margins, aiding handling qualities and mitigating disturbance to the aircraft. Efforts to provide rotor state estimates that surmount the reliability and installation issues associated with rotary transducers in the rotating frame show promise, but questions remain as to how best to model their dynamic response, particularly when part of a closed-loop flight control design. This paper addresses this modeling issue to provide a means of representing the rotor state estimation process for use in a flight simulation analysis aimed at investigating rotor state feedback control approaches.