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一种具有收敛稳定性的改进协同优化方法

         

摘要

针对标准协同优化方法采用二次结构式一致性约束所造成的计算缺陷,将设计变量分解为2个部分,一个为系统级设计变量,另一个为子系统级局部设计变量,对系统级目标函数以一阶泰勒形式表示,引入影响因子表达式,确定子系统变量与系统级目标函数的关系,将其作为子系统级目标函数,以取代原有的一致性约束,进而提出了一种改进协同优化方法(MCO).以圆柱齿轮减速器为例的优化设计结果表明本方法的收敛稳定性与高效性.%To overcome the defect caused by using quadratic formula consistent constraints in the standard collaborative optimization method, a new collaborative optimization ( MCO) method is proposed, in which the design variables are decomposed into system-level design variables and subsystem-level local design variables. The system-level objective function is expressed in first order Tay-lor to obtain the influencing factor expression which is used to determine the relationship between the subsystem design variables and the system-level objective function and the influencing factor expression is used as the subsystem objective function to replace the o-riginal consistency constraint. This paper takes the cylindrical gear reducer as a design optimization example to illustrate the conver-gence stability and high efficiency of the proposed method.

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