基于自适应粒子群算法的航天测控系统任务可靠性分配  

Mission reliability allocation of spaceflight TT&C system based on adaptive particle swarm optimization

作　　者：张新贵[1] 武小悦[1] 

机构地区：[1]国防科学技术大学信息系统与管理学院,长沙410073

出　　处：《航空动力学报》2012年第9期2147-2154,共8页Journal of Aerospace Power

基　　金：国家自然科学基金(71071159)

摘　　要：采用测控时序图描述任务时序逻辑关系,建立了各阶段的任务可靠性模型,讨论了可靠性分配时的约束条件和分配目标,从而构建了航天测控系统任务可靠性分配模型.在此基础上,设计了自适应粒子群算法,算法在迭代过程中通过惯性权重系数ω进行自适应调整,初始时能快速搜索全局解,后期能有效地搜索局部解.通过算例仿真,表明自适应粒子群算法在用于航天测控系统任务可靠性分配问题时具有分配结果优、收敛速度快等优点.The mission sequential logic relations were described by sequential diagram,mission reliability model of each phase and the reliability allocation model were built,and the constraint conditions and the allocation objective were discussed.The adaptive particle swarm optimization（APSO） was designed,which adaptively adjusted the convergence speed by altering the value of weighted coefficient ω during population iterating.With this method,the global results can be searched quickly in the initial stages,and the local results can be obtained effectively in the later stages.By simulation,it shows that the APSO can reach more optimal results and convergence in solving the mission reliability allocation of spaceflight TT＆C（tracking telemetry and command） system.

关 键 词：可靠性分配 航天测控系统 任务可靠性 自适应 粒子群算法 

分 类 号：V221[航空宇航科学与技术—飞行器设计] TP18[自动化与计算机技术—控制理论与控制工程]