基于协同优化的民机DMC控制模型研究  

Research on Civil Aircraft DMC Control Model Based on Collaborative Optimization

作　　者：贾宝惠[1] 吴婧 卢翔[1] 

机构地区：[1]中国民航大学航空工程学院,天津300300

出　　处：《机械工程与自动化》2018年第1期19-21,共3页Mechanical Engineering & Automation

基　　金：民用飞机专项(MJZ-2014-Y-61);中国民航局科技引领重大专项(MHRD20160105)

摘　　要：针对民用飞机研制阶段直接维修成本(Direct Maintenance Cost,简称DMC)的控制问题进行分析研究,建立可靠性、维修性协同优化模型。模型以DMC最小化为目标,以可靠性参数MTBUR、MTBF和维修性参数MTPM为设计变量,采用改进的组合遗传算法求解。最后以ATA38水/废水系统为例进行MATLAB仿真研究,验证了模型的有效性和适用性。结果表明,利用该模型可以进行可靠性和维修性的协同优化,实现DMC分配与预计的定量权衡。Aiming at studying the problem of controlling the direct maintenance cost（DMC）of civil aircraft during the development stage,this paper proposed an collaborative optimization model in regard to reliability and maintainability.According to the requirement of minimizing DMC cost,the optimal solution was calculated by an improved genetic algorithm（GA）,in which the variables were reliability parameters MTBUR,MTBF and maintainability parameter MTPM.Then the model was simulated by MATLAB,taking ATA38-Water/Waste as an example,so that the effectiveness and applicability of the model were verified.The result shows that this model satisfies the expectation of collaborative optimization of reliability and maintainability.Meanwhile,the quantitative of DMC distribution and expectation reached an optimization.

关 键 词：直接维修成本 可靠性 维修性 协同优化 遗传算法 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]