Research on UAV Conflict Resolution Algorithm Based on Improved Particle Swam Algorithm

Jianhua Zhang, S. Dou, Yang Li, Xueli Wu, Ran Zhen, Kai Gao, Dongwen Zhang
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Abstract

This paper is based on the safety method of particle swarm, and integrates the classical particle swarm algorithm and simulated annealing particle swarm algorithm. This article combines the classic particle swarm algorithm and simulated annealing particle swarm optimization algorithm, the advantages of can improve the UAV mission in a complex spatial environment safety, reduce the unmanned aerial vehicle unable to effectively avoid the ground fixed obstacles in the process of flying and air other aircraft due to the risk of collision, made it possible to unmanned aerial vehicles and man-machine Shared airspace, able to perform various tasks for unmanned aerial vehicle safely and successfully provide effective protection.
基于改进粒子游算法的无人机冲突解决算法研究
本文以粒子群安全方法为基础,将经典粒子群算法与模拟退火粒子群算法相结合。本文将经典粒子群算法与模拟退火粒子群优化算法相结合,优点在于可以提高无人机在复杂空间环境下执行任务的安全性,减少无人机在飞行过程中无法有效避开地面固定障碍物而与空中其他飞行器发生碰撞的风险,使无人机与人机共享空域成为可能。能够为无人机安全顺利地执行各种任务,提供有效保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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