Research on Regional Coverage with LAVs Based on MOPSOA

Yehong Du, Bing Li, Jie Li
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Abstract

Regional coverage reconnaissance is a signiflcant means of obtaining the important targets in the region and a prerequisite for the precision strike. The research status of LAVs (Loitering Air Vehicles) regional coverage is analyzed in his paper, and the detector model is built which is applicable to LAV. By analyzing the difierent ways how circular target region should be divided, a conclusion is obtained that the total distance is shortest and the total turning number is least in the parallel split manner; according to the indicators requirements of turning radius and reconnaissance radius, LAV turning method is appropriately given; the objective function of this problem is established and the constraints are determined correspondingly, then this problem had been optimized with MOPSOA (Multi-object Particle Swarm Optimization Algorithm); the obtained path plan after optimization is ideal.
基于MOPSOA的lav区域覆盖研究
区域覆盖侦察是获取区域内重要目标的重要手段,是实现精确打击的前提条件。分析了飞行器区域覆盖的研究现状,建立了适用于飞行器区域覆盖的探测器模型。通过对圆形目标区域划分的不同方法的分析,得出了平行分割时总距离最短、总转弯次数最少的结论;根据转弯半径和侦察半径指标要求,适当给出LAV转弯方法;建立了该问题的目标函数,确定了相应的约束条件,利用多目标粒子群优化算法对该问题进行了优化;优化后得到的路径规划是理想的。
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