弹道学报2025，Vol.37Issue(4)：1-9,9.DOI:10.12115/ddxb.2025.11006
面向弹道性能提升需求的高性能机动飞行器多学科优化设计
Multi-disciplines Optimization Design of High-performance Aircraft for the Trajectory Performance Enhancement
摘要
Abstract
To address the design challenges of high-performance maneuvering vehicles,characterized by tight coupling,frequent iterations,and complex processes across disciplines such as aerodynamics,ballistics,guidance and control,a system-level multidisciplinary design optimization method based on high-precision surrogate models and an improved intelligent algorithm was proposed.Firstly,by utilizing orthogonal experimental design and computational fluid dynamics simulation to acquire high-fidelity sample data,a Kriging-based surrogate model for aerodynamic fitting coefficients was constructed.Rapid and high-precision mapping from geometric parameters to aerodynamic characteristics can be achieved.The issue of excessive computational cost in aerodynamic analysis during the iterative process was effectively resolved.On this basis,a system-level multi-objective optimization model encompassing aerodynamic shape,guidance law parameters,and control gains was established by comprehensively considering the requirements for guidance accuracy and attitude stability.To overcome the tendency of traditional algorithms to fall into local optima,an improved particle swarm optimization algorithm,which incorporates a concentration regulation mechanism,an equilibrium operator,and genetic evolution operators,was employed to perform global optimization.Full-system simulations demonstrate that the proposed method effectively addresses strong interdisciplinary coupling challenges.The optimized vehicle achieves an approximate 8％reduction in the average aerodynamic drag coefficient,an increase in the static stability margin to 5.41％,and a control system phase margin of 65.23°.Furthermore,the terminal guidance accuracy against hypersonic maneuvering targets improves from 1.40 m to 0.49 m,significantly enhancing the comprehensive ballistic performance of the vehicle.关键词
多学科优化/改进粒子群算法/气动外形优化/制导控制一体化Key words
multidisciplinary design optimization/improved particle swarm optimization/aerodynamic shape optimization/integrated guidance and control分类
军事科技引用本文复制引用
黄浩,琚啸哲,韦常柱,敦晓彪,尹童..面向弹道性能提升需求的高性能机动飞行器多学科优化设计[J].弹道学报,2025,37(4):1-9,9.基金项目
基金项目:JCKY202204B001 （）
