摘要
针对组批卫星总装、集成、测试(AIT)需求,提出应用测试岛的流水线测试模式。界定各测试岛的任务内容、准入条件、场地及配套设备管理方法,设计测试岛流水线生产流程,描述卫星排产策略中的科学问题。构建组批卫星混合流水线车间调度问题(HFSP)模型,提出采用多层编码遗传算法解决流水线装配测试问题。以“北斗”组批卫星AIT期间生产数据为例,将传统AIT排产策略与应用测试岛流水线排产策略进行对比分析。仿真结果表明:8颗卫星完成AIT阶段全部测试,采用测试岛流水线测试模式得到的最优排产结果,相比传统测试流程排产时间缩减了13.7%,从而验证了应用测试岛流水线测试模式及多层编码遗传算法,可实现组批卫星AIT平台下智能排产策略设计,优化生产资源调度模型。
The schedule rule for batching satellites during the stage of AIT (assembly, integration and testing) comprehensive production is studied. A novel flow-shop mode based on testing islands is proposed. The key elements of each testing island are defined, such as the task goal, access conditions, site and equipment management method. Besides, HFSP (hybrid flow-shop scheduling problem)mode is constructed to solve the satellite AIT production scheduling problem, and a multi-layer coding genetic algorithm is designed to optimize the schedule process. Taking the production data of batching Beidou satellites during AIT stage as an example, the traditional AIT scheduling strategy is compared with the optimal one of testing island flow-shop production. The simulation results show that the optimal scheduling results of 8 satellites in AIT stage are obtained by using the test island flow-shop testing mode, which reduces the scheduling time by 13.7% compared with the traditional testing process. It is verified that the application of test islands testing mode and multi-layer coding genetic algorithm can help realize intelligent scheduling strategy design, and optimize production resource scheduling model on AIT platform of batching satellites.
作者
刘鹤
赵阳
张淳
刘晓敏
LIU He;ZHAO Yang;ZHANG Chun;LIU Xiaomin(Beijing Institute of Spacecraft System Engineering, Beijing 100094, China)
出处
《航天器工程》
CSCD
北大核心
2019年第3期99-106,共8页
Spacecraft Engineering
基金
国家重大科技专项工程
关键词
组批卫星测试
测试岛
流水线
调度算法
batching satellites testing
testing island
flow-shop
scheduling algorithm
