A multi-source model-driven suborbital variant aircraft whole trajectory optimization method

Abstract

This invention relates to a multi-source model-driven method for optimizing the full-range ballistic trajectory of a suborbital variator vehicle, belonging to the field of suborbital variator vehicle trajectory optimization technology. The specific process of this method is as follows: A mathematical model for optimizing the full-range ballistic trajectory of a suborbital variator vehicle with the goal of maximizing range is determined; a parametric geometric master model, an aerodynamic model, an RBCC engine performance analysis model, a multi-precision full-trajectory analysis model, and a deformation decision-maker model are established for the suborbital variator vehicle; a hierarchical Kriging surrogate model for a high-precision full-trajectory performance analysis model is established and solved based on the constructed models, achieving optimization of high- and low-precision sample points; and a feasible optimal solution is selected from each high-precision sample point as the ballistic optimization design scheme for the suborbital variator vehicle.

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