Multidisciplinary Integrated Analysis And Multiobjective Optimization For The Hypersonic-Glide Vehicle

The design of Hypersonic-Glide Vehicle(HGV) is a difficult task, which involves different disciplines, such as aerodynamics, thermodynamics, trajectory, and so on. Furthermore, the designer must balance different performance index.This paper focuses on the multiobjective optimization of HGV. The technologies that relevant to aerodynamic, thermodynamics and trajectory are studied and discussed, such as aerodynamic force numerical calculation, heating engineering estimation and the calculation of trajectory which mainly applied in the primary design of HGV. The model of HGV’s multiobjective optimization is set up subsequently.Firstly, a parametric shell of HGV has been set up. Then, an engineering estimation method of aerodynamic force is applied to calculate aerodynamic characteristics. In the research of aerodynamic force calculation and performance analysis, the Kriging surrogate model is applied. The accuracy of the results is verified by comparing with data of numerical simulation software Fluent. In the research of aerodynamic heating engineering estimating, several typical aerodynamic heating formulas have been introduced, the aerodynamic heating estimating model is set up.Secondly, the multiobjective evolutionary algorithm based on decomposition(MOEA/D) is studied. As the basis, the general decomposition approach and the framework of MOEA/D are introduced. The simulation results validate the efficacy of the aforementioned method.Then, the multidisciplinary integration technology is studied. The multidisciplinary integration software ModelCenter is introduced and applied to integrate the aforementioned multidisciplinary model.At last, the HGV’s aerodynamic performance is optimized based on the engineering estimation model which has been built at the fore. The aerodynamic performance evaluating indicator system is set up. The results indicate the performance of HGV include volume fraction and lift-drag ratio both have been improved. Then this method is used to optimize the range of HGV’s trajectory and the heat flux of stationary point. This thesis may have some referenced value on the HGV’s aerodynamic performance evaluation.