飞机航电系统故障测试点优化选择研究

摘要

A new method for test point selection of avionics system is proposed based on the modified grey wolf optimization (GWO) algorithm.Firstly,the test point selection problem is converted into a constraint optimization problem.Optimization selection of the test point is easy to run into partial optimization.According to the disadvantage,the traditional GWO algorithm is modified via dynamic search.Thus,the modified GWO can solve the optimal set of test point.Finally,the method mentioned above is applied into example of certain onboard avionic system and can obtain the optimal set of testing point with the minimum cost and the shortest fault repair time.Compared with other methods,the method is superior to other methods of test point selection in respect of testing index,convergence rate and testing cost.%针对飞机航电系统升级改装后安全性测试过程中因测试点选择方法不当导致的测试精度不达标、故障修复时间过长、测试代价过大的问题,提出一种基于改进灰狼优化(GWO)算法的测试点选择新方法.首先在不影响测试精度的条件下,考虑测试单元要易于维修,测试费用要尽量节省,将航电系统测试点选择问题转化为一个约束优化问题.然后,根据航电系统测试点优化选择时存在易陷入局部最优的缺点,通过动态搜索的方式改进传统GWO算法,从而使其能有效求解出航电系统最优测试点集.将上述方法应用于某机载航电系统实例中,在满足测试性指标要求下可以得到费用最少、故障修复时间最短的最优测试点集.与其它方法比较说明,上述方法在测试指标、收敛速度、测试费用等方面均优于其它测试点选择方法.