无人机航迹规划算法

无人机是现代战场实施侦察、打击的有力武器,它的发展备受关注。无人机航迹规划源于机器人运动规划,它是无人机应用研究的核心内容,对提高无人机系统在复杂战场的作战能力起着关键作用。无人机战场环境日益复杂,在强拒止、强电磁环境下,航迹规划对自主性和智能化有更高的要求,传统单一约束的算法已不能满足现今的战场需求。文章系统梳理了 5类无人机航迹规划算法中的几种常用算法及其改进算法,归纳了这些算法的原理、优缺点及适用条件,指出现阶段存在的问题与无人机航迹规划算法面临的挑战。综述表明,航迹规划算法必然向着智能化发展,自主识别和智能决策是改进、优化算法的关键。

UAV Track Planning Algorithm

The UAV is a powerful weapon for reconnaissance and attack in modern battlefield. The development of UAV issubject to the world attention. The track planning of UAV originated from robot motion planning, is the core of UAV appli.cation research, and plays a key role in improving the combat capability of UAV system in complex battlefield. The battle.field environment of UAV is becoming more and more complex. In the strong rejection and strong electromagnetic environ.ment, track planning has higher requirements for autonomy and intelligence. The traditional single constraint algorithmcan not meet the current battlefield requirements. This paper systematically combs the commonly used algorithms andtheir improved algorithms in five types of UAV track planning algorithms. The principles, advantages, disadvantages andapplicable conditions of these algorithms are summarized, and the existing problems and challenges of UAV track plan.ning algorithm are pointed out. The summary shows that the track planning algorithm must develop towards intelligence,and autonomous identification and intelligent decision-making are the key to improve and optimize the algorithm.