基于速度可控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 velocity controllable particle swarm optimization

作　　者：张新贵[1] 武小悦[1] 

机构地区：[1]国防科技大学信息系统与管理学院,湖南长沙410073

出　　处：《国防科技大学学报》2012年第4期58-62,共5页Journal of National University of Defense Technology

基　　金：国家自然科学基金资助项目(71071159)

摘　　要：航天测控系统是一个典型的多阶段任务系统,讨论了可靠性分配时的约束条件和分配目标,构建了其任务可靠性分配模型,针对任务可靠性分配这类复杂的约束组合优化问题,提出了一种速度可控的粒子群优化算法。为克服粒子群算法的早熟问题,该算法引入了速度更新的方向控制规则和尺度控制规则用于增加群体的多样性,并根据两种控制规则,提出了种群粒子的速度更新策略。通过算例仿真,表明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 tracking, telemetry and command （TT＆C） system is a phased mission system. In this research, the constraint conditions and the allocation objective were discussed, and the mission reliability allocation model was built. The mission reliability allocation of TT＆C system is a kind of combined optimization problem with complicated constraints, and a velocity controllable particle swarm optimization （ VCPSO ） was proposed for this problem. In order to overcome the local convergence of particle swarm optimization （ PSO ） , velocity direction controllable regulation and velocity scale controllable regulation were introduced to increase the population diversity. The velocity itcrative strategy in PSO was improved based on the two regulations. By simulation, it shows that the VCPSO can reach more optimal results and convergence in solving the mission reliability allocation of spaceflight TT＆C system.

关 键 词：航天测控系统 任务可靠性 可靠性分配 粒子群优化 速度可控 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP273[自动化与计算机技术—控制科学与工程]