This paper proposes a system identification method for tilt-body aircraft. This method addresses the challenge of applying traditional fixed-wing and rotorcraft identification strategies to tilt-body. To validate the practicality of the suggested method, simulations are performed on the tilt-body, also known as Lingqiao. In a collaborative simulation, optimized multisine input excitations are given to Lingqiao’s multiple control surfaces to capture rich response data, resulting in a flight database. In addition, wind tunnel studies are performed on Lingqiao’s power unit to create a power unit database. The two databases are combined to generate local models in the state space. The findings show that the model fits the data well and has strong prediction capacity.