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Ant colony optimization based control allocation for fighter with multiple effectors

机译:基于蚁群优化的多效应战斗机控制分配

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Aiming at the optimum allocation problem of redundancy for fighter with multiple effectors and considering the advantage of ant colony optimization (ACO) in optimization, a new control allocation (CA) strategy based on ACO is proposed. According to the mathematical model for CA problem, optimization goals and constraints are provided for continuous space optimization. By extending ACO algorithm to the continuous space, the best combination of effectors will be searched for. The simulation result shows that an effective schedule can be found with the help of ACO algorithm and optimization goals will be achieved as well.
机译:针对多效应战斗机的最优冗余分配问题,并考虑蚁群优化(ACO)在优化中的优势,提出了一种基于蚁群优化的控制分配(CA)策略。根据CA问题的数学模型,为连续空间优化提供了优化目标和约束。通过将ACO算法扩展到连续空间,将寻找效应子的最佳组合。仿真结果表明,借助ACO算法可以找到有效的调度计划,同时也可以达到优化目标。

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