有限资源下的复杂航空电子产品并行调试任务重调度研究  

Rescheduling of the complex avionics parallel debugging tasks commissioning with limited resources

作　　者：赵雪 谭抗 刘民岷 赖复尧[2] 李波 ZHAO Xue;TAN Kang;LIU Minmin;LAI Fuyao;LI Bo(School of Aeronautics and Astronautics,University of Electronic Science and Technology of China,Chengdu 611731,CHN;The 10S1 Research Institute of China Electronics Technology Group Corporation,Chengdu 610036,CHN)

机构地区：[1]电子科技大学航空航天学院,四川成都611731 [2]中国电子科技集团公司第十研究所,四川成都610036

出　　处：《制造技术与机床》2024年第7期184-190,共7页Manufacturing Technology & Machine Tool

基　　金：四川省科技厅重大科技专项(2022ZDZX0007)。

摘　　要：为了提高调试效率,文章针对复杂航空电子产品调试中的并行调试问题,建立最小化最大完工时间为目标的复杂电子产品调试调度静态优化模型,并利用改进离散粒子群优化(improved discrete particle swarm optimization,IDPSO)算法进行求解;针对电子产品调试环境中存在的动态扰动,提出一种基于适应度差值阈值机制的周期和事件混合驱动重调度方案。通过实验验证了模型和算法及重调度方案的有效性,从理论上为解决复杂航空电子产品并行调试调度的研究提供研究思路以及方法支持。To enhance debugging efficiency,this article addresses the problem of parallel debugging in complex aviation electronic product testing by establishing a static optimization model for test scheduling aimed at minimizing the maximum completion time,which is solved using an improved discrete particle swarm optimization(IDPSO) algorithm.In response to the dynamic disturbances present in the electronic product test environment,a rescheduling scheme driven by a mix of periodic and event triggers is proposed,which is based on a fitness differential threshold mechanism.The effectiveness of the model,algorithm,and rescheduling strategy has been experimentally validated,providing theoretical guidelines and methodological support for research into the scheduling of parallel debugging for complex aviation electronics products.

关 键 词：复杂航空电子产品 并行调试 重调度 改进离散粒子群算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]