ID 原文 译文
11854 将图形电磁计算与蒙特卡罗仿真结合,构建以均匀随机分布为扰动模型的动态RCS仿真分析平台。 ‭The graphical electromagnetic computing combined with monte carlo simulation, build based on uniform distribution random perturbation model of dynamic RCS simulation platform. ‭
11855 根据静动态RCS差异的统计分布特性,提出置信区间以及数学期望值的计算方法。 According to the statistical distribution characteristics of static and dynamic RCS difference, confidence intervals, and the calculation method of mathematical expectation is put forward. ‭
11856 选择两种运动模式下的飞机目标进行验证,将所得结果与实际扰动模型的动态RCS进行了比对。 Choose two movement mode of aircraft target validation, the disturbance model results and the actual dynamic RCS of the comparison.
11857 结论表明该方法具备较强可操作性和工程应用价值,提高了计算机动态RCS仿真能力,为目标静动态电磁散射特性一致性评估以及特征库构建提供了有价值的参考信息和分析方法。 ‭Results indicate that the method has strong operability and engineering application value, improve the ability of computer dynamic RCS simulation, for static and dynamic electromagnetic scattering characteristics of targets assessment as well as the characteristics of library building provides valuable reference information and analysis method. ‭
11858 研究了考虑动压、过载、控制量以及终端状态等多约束条件下的非连续助推弹道方案设计与优化问题。 Studied considering dynamic pressure, overload, control and terminal state constraint conditions of discontinuous booster trajectory design and optimization problems.
11859 首先,结合最优控制理论,推导了脉冲作用期间的飞行程序; ‭ First of all, combined with the optimal control theory, the pulse duration was deduced flight procedures; ‭
11860 然后,在综合考虑弹道约束条件的基础上,合理设计非连续助推弹道方案; ‭ Then, on the basis of comprehensive considering constraints of ballistic, rational design of discontinuous booster ballistic scheme;
11861 最后,针对经典粒子群算法收敛速度慢、易陷入局部最优解的缺点,采取了惯性权重自适应变化及扰动策略,以适应复杂弹道优化问题。 ‭Finally, in view of the classic particle swarm algorithm is slow convergence speed, easy to fall into local optimal solution of the faults, adopt the adaptive inertia weight change and disturbance strategy, to adapt to the complex trajectory optimization problem.
11862 仿真算例及结果表明,设计的非连续助推弹道方案能够满足各项约束。 Simulation examples and the results show that the design of the discontinuous booster ballistic scheme can satisfy the constraints.
11863 改进的粒子群算法能有效解决多约束下非连续助推弹道优化问题。 The improved particle swarm algorithm can effectively solve the problem of the discontinuous booster ballistic optimization under multiple constraints.