This paper's objective is to apply a novel identification technique to obtain a dynamic state-space wake inflow model accounting for the effects of a stationary/moving ground beneath a hovering rotor. The identification is based on a dataset of computational simulations (training set) provided by an in-house free-wake mid-fidelity solver. The evaluation of the wake contribution is optimised through a generalised mirror-image model to reduce the computational cost without losing accuracy. Stationary and moving ground effects are analysed and discussed in the present work, considering both parallel and inclined ground with respect to the rotor disk and heaving and pitching ground motion. The proposed state-space wake inflow model relates the inflow coefficients to a set of inputs, including the aerodynamic hub loads (akin to the well-known Pitt-Peters approach) and the kinematic degrees of freedom of the ground. For a number of rotor/ground configurations, the identified model is successfully validated against the simulations directly provided by the nonlinear, free-wake aerodynamic solver.
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