Obstacle avoidance flight control method of UAV formation based on neural network adaptive PID

Yunhong Yang, Xingzhong Xiong
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Abstract

According to the analysis of the research results of UAV formation must-rise path planning and intelligent control technology in recent years, scholars around the world began to use artificial intelligence technology theory for optimization and innovation, put forward a variety of scientific research and exploration topics, and achieved excellent research results. In this paper, based on the understanding of neural network adaptive PID and UAV cluster track planning, according to the accumulated experience of scientific research and technology achievements in recent years, in-depth discussion of the UAV formation obstacle avoidance flight control method based on neural network adaptive PID algorithm. The final experimental results show that the neural network adaptive PID algorithm can effectively control the UAV formation and truly realize the basic functions.
基于神经网络自适应PID的无人机编队避障飞行控制方法
根据对近年来无人机编队必升路径规划和智能控制技术研究成果的分析,各国学者开始利用人工智能技术理论进行优化创新,提出了多种科学研究和探索课题,并取得了优异的研究成果。本文在了解神经网络自适应PID和无人机簇迹规划的基础上,根据近年来积累的科研经验和技术成果,深入探讨了基于神经网络自适应PID算法的无人机编队避障飞行控制方法。最后的实验结果表明,神经网络自适应PID算法能够有效地控制无人机编队,真正实现基本功能。
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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