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Novel intelligent water drops optimization approach to single UCAV smooth trajectory planning

机译:单UCAV平滑轨迹规划的新型智能水滴优化方法

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摘要

Trajectory planning of unmanned combat aerial vehicle (UCAV) is a rather complicated global optimum problem in UCAV mission planning. Intelligent water drops (IWD) algorithm is newly presented under the inspiration of the dynamic of river systems and the actions that water drops do in the rivers, and it is easy to combine with other methods in optimization. In this paper, we propose an improved IWD optimization algorithm for solving the single UCAV smooth trajectory planning problems in various combating environments. The water drops can act as an agent in searching the optimal UCAV trajectory. The detailed realization procedure for this novel approach is also presented. In order to make the optimized UCAV trajectory more feasible for exact flying, an efficient path smoothing method called the κ-trajectory is adopted for smoothing the single UCAV trajectory. Series experimental comparison results show the proposed IWD optimization algorithm is more effective and feasible in the single UCAV smooth trajectory planning than the basic IWD model.
机译:在UCAV任务计划中,无人战斗机(UCAV)的轨迹规划是一个相当复杂的全球最优问题。新型智能水滴算法是在河流系统动力学和水滴在河流中所起的作用的启发下提出的,很容易与其他方法结合进行优化。在本文中,我们提出了一种改进的IWD优化算法,用于解决各种作战环境中的单个UCAV平滑轨迹规划问题。水滴可以充当搜索最佳UCAV轨迹的媒介。还介绍了这种新颖方法的详细实现过程。为了使优化的UCAV轨迹更适合精确飞行,采用了一种称为κ轨迹的有效路径平滑方法来平滑单个UCAV轨迹。系列实验比较结果表明,所提出的IWD优化算法在单UCAV平滑轨迹规划中比基本的IWD模型更为有效和可行。

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