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将无人机系统自主控制的关键技术划分为体系结构、感知与认知、规划与控制、协同与交互部分。本文重点介绍了这些技术,并指出了今后可能发展的方向。1.引言近年来,随着各种新技术的不断应用,无人机系统的复杂性及功能的自动化程度等日益增加。由于作战环境的高度动态化、不确定性以及飞行任务的复杂性,使得规划与决策成为无人机面临的新的技术挑战,各种基于程序化的自动控制
The key technologies of autonomous control of UAS are divided into architecture, perception and cognition, planning and control, coordination and interaction. This article focuses on these technologies and points out the possible directions for future growth. 1. Introduction In recent years, with the continuous application of various new technologies, the complexity of UAV systems and the degree of automation of functions have been increasing. Due to the high degree of dynamism and uncertainty of the operational environment and the complexity of the missions, planning and decision-making become the new technical challenges faced by UAVs. Various program-based automatic control