Multi-Objective Optimization Design of Liftbody Aircraft Using Kriging Model

The evolutionary algorithm combined with Kriging surrogate model is applied to aerodynamic optimization design of high-altitude hypersonic aircraft. In this paper, a 3D liftbody aircraft in cruise flight state is designed which divided into forebody/inlet, engine and after-body/nozzle parts, and its variable parameterization method is studied by considering the multi-disciplinary coupling effect of airframe/engine integration; four disciplines analysis model, i.e. engine propulsion performance, the forebody/inlet air-breathing performance, aerodynamic force and thermodynamics, are established and the appropriate objective parameters are selected, then genetic algorithms are used to optimize the design. The single-objective optimization results show that the performance of aircraft is effectively improved; the multi-objective optimization results reveal that the total trade-off is achieved.