基于自适应粒子群算法的航天测控系统任务可靠性分配

张新贵; 武小悦

基于自适应粒子群算法的航天测控系统任务可靠性分配

国防科学技术大学信息系统与管理学院, 长沙 410073

基金项目: 国家自然科学基金(71071159)

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出版历程
- 收稿日期: 2011-09-15
- 刊出日期: 2012-09-28

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

College of Information Systems and Management, National University of Defense Technology, Changsha 410073, China

摘要

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.
- 可靠性分配 /
- 航天测控系统 /
- 任务可靠性 /
- 自适应 /
- 粒子群算法
Abstract: 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.
- reliability allocation /
- TT&C(tracking telemetry and command) system /
- mission reliability /
- adaptive /
- particle swarm optimization

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参考文献(15)

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