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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 time series logic of task scheduling is described by using the sequence diagram of measurement and control, the task reliability model of each phase is established, the constraints and allocation targets of reliability assignment are discussed, and the mission reliability assignment model of space flight measurement and control system is constructed.On this basis, An adaptive particle swarm optimization algorithm is designed, which is adaptively adjusted by inertia weight coefficient ω in the iterative process. The algorithm can quickly search for global solutions in the initial stage and search for local solutions effectively in the later stage.An example simulation shows that the adaptive particle swarm optimization It has the advantages of excellent allocation result and fast convergence when it is used in the mission reliability assignment of aerospace monitoring and control system.