Multidisciplinary design collaborative optimization for common aero vehicle
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摘要: 探讨了协同优化方法在通用再入飞行器总体优化设计中的应用以及各学科间耦合关系.对协同优化方法的流程及特点进行了分析,以通用再入飞行器总体优化设计为对象,研究如何利用协同优化方法建立此类问题的优化模型.研究结果表明协同优化方法相对多学科可行法具有较快的收敛速度,主要是由于协同优化方法中的系统级在搜索空间时受到了3个子系统级优化一致性的制约,而3个子系统级并行地对升阻比最大、质量最小、弹道设计中气动加热量最小3个主要影响射程的因素进行了优化,最终共同缩小了设计搜索空间,同时利用学科的独立性进行并行计算,从而较快地实现了迭代收敛.Abstract: Collaborative optimization (CO) method applied into overall design optimization for common aero vehicle and coupled relationship between disciplines were investigated. Process and characters of CO were analyzed. Aimed at common aero vehicle optimization design, research how using CO to built optimization model. Research result shows CO compared with multi-discipline feasible(MDF) has more converge speed, and the reason is system level optimization of CO method is constrained by three subsystem level optimization, constringency of design space speed up, thus realize rapidly iterate converge.
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