多学科设计优化的低自由度协同优化方法

为了解决协同优化(CO)方法计算量过大的问题,提出了低自由度协同优化方法(Low degree-of-freedom collaborative optimization,LDFCO)。LDFCO的系统级优化通过调整共享设计变量和辅助设计变量,使系统目标最优,且满足一致性约束条件。子系统优化通过调整局部设计变量,使子系统目标最优,并满足局部约束条件。子系统目标有两种形式:最小化本子系统的一致性约束函数和直接与系统目标有关的状态变量的加权和,或最小化一种不同于前者的一致性约束函数。通过3个算例检验了LDFCO的效率,结果表明LDFCO方法的计算量比CO方法大大减少。

Low Degree-of-Freedom Collaborative Optimization of MDO

In order to reduce computation cost of collaborative optimization(CO) method,a low degree-of-freedom collaborative optimization(LDFCO) method is proposed.The system-level optimizes the problem target by changing the shared and auxiliary variables,subject to the consistency constraints.Each subsystem optimizes its objective satisfying its own local constraints by changing its local variables.Two formulations of the objective of each subsystem are existed.One is to minimize the weighted sum of its consistency constraint function and its state variables included in the problem target.The other is to minimize different consistency constraint functions.Three examples are used to verify the efficiency of LDFCO.Results show that LDFCO method needs much less computation cost than CO method.