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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。
Aerospace measurement and control system is a typical multi-stage task system. The constraints and allocation goals of reliability assignment are discussed. The task reliability assignment model is constructed. To solve this complex constrained combinatorial optimization problem, A Speed Controllable Particle Swarm Optimization Algorithm. In order to overcome the premature problem of particle swarm optimization algorithm, the new speed control rule and scale control rule are introduced to increase the population diversity. According to the two control rules, the speed update strategy of the population particle is proposed. The simulation results show that the proposed algorithm has the advantages of good allocation result and fast convergence when it is used in the mission reliability assignment of aerospace measurement and control system.