  Airborne Wind Energy (AWE) refers to a novel technology capable of harvesting
energy from wind by flying crosswind patterns with tethered autonomous
aircraft. Successful design of flight controllers for AWE systems rely on the
availability of accurate mathematical models. Due to the non-conventional
structure of the airborne component, the system identification procedure must
be ultimately addressed via an intensive flight test campaign to gain
additional insight about the aerodynamic properties. In this paper, aerodynamic
coefficients are estimated from experimental data obtained within flight tests
using an multiple experiment Model Based Parameter Estimation (MBPE) algorithm.
