考虑性能及成本的固体火箭发动机多学科设计优化

A solid rocket motor multidisciplinary design and optimization（MDO）model is constructed by considering coupling relationship between cost of combustor，grain，and nozzle and internal ballistic performance to maximize the total impulse and minimize the cost simultaneously. Additionally，a Kriging-based multi-objective adaptive optimization method（KRG-MAOM）is developed to alleviate the computational cost of solid rocket motor MDO problem. In KRG-MAOM，Kriging surrogates are constructed for both objectives and constraints and combined with a multi-objective optimization algorithm to obtain a pseudo Pareto set. The newly-added sample points are then selected from the pseudo Pareto set considering dominance relationship and distribution characteristics to improve the optimization convergence speed. The results of benchmarks illustrate that KRG-MAOM outperforms the competitive algorithms in terms of global convergence and optimization efficiency. Finally，KRGMAOM is employed to solve the solid rocket motor MDO problem. The Pareto solutions satisfy all the disciplinary constraints. Compared to the initial solution，the cost can be saved by 3.36% at the same performance；the performance can be improved by 10.93% at the same cost，which demonstrates the reasonability of the constructed MDO model and the practicality of KRG-MAOM.