Collaborative optimization of hypersonic vehicle based on surrogate model

The multidisciplinary models of hypersonic vehicle which similar to the X-51A were built, including configuration, aerodynamics, propulsion, mass, heat and trajectory. The collaborative optimization (CO) method which is one of the multidisciplinary design optimization (MDO) method was used, the surrogate models of two subsystem optimizers and trajectory model were built to replace the real models which are time-consuming in the process. Meanwhile, multidisciplinary feasible (MDF) method was used to calculate for comparison. The results show that both the optimization results are basically the same, the mass of the vehicle is 15.2% lower and the range is 63.5% higher than the initial vehicle after optimization, and the computational efficiency has also been greatly improved by using the surrogate models. The validity of the CO based on surrogate model applying to hypersonic vehicle design is verified.