摘 要

无人机集群控制是近年来新兴的科技领域，其基本原理是将多个无人机连接成一个集群，并通过一个控制中心来控制不同无人机的行为。这种控制方法不仅能让无人机之间实现协调配合，还可以更好地实现指挥控制和监督管理。

本文基于Matlab对无人机集群控制系统进行研究，主要包括以下几个部分：一、引言。现今无人机技术得到广泛应用，无人机集群系统作为一种新兴技术备受关注。二、相关技术综述。简要介绍了无人机集群控制系统的发展现状，从集群控制理论到无人机动力学模型分析，系统阐述了目前研究的主要方向。三、无人机集群控制系统设计。通过Matlab对集群控制系统进行建模和仿真设计，包括集群编队控制、路径规划和协同决策等内容。四、仿真实验与结果分析。通过Matlab仿真实验，验证了设计的控制系统在不同场景下的性能表现，并对实验结果进行了详细分析。五、结论与展望。总结了本文的研究工作成果，提出了今后进一步深入研究的方向和展望。通过本文对基于Matlab的无人机集群控制系统的研究，为无人机集群技术的发展提供了理论支持和实际应用价值。

关键词：无人机集群控制，集群编队控制，路径规划，协同决策，仿真实验，结果分析，实际应用价值

ABSTRACT

Drone swarm control is an emerging technological field in recent years. Its basic principle is to connect multiple drones into a swarm and control the behavior of different drones through a control center. This control method can not only enable drones to achieve coordinated cooperation, but also better achieve command control and supervision management.

This paper is based on Matlab to research the drone swarm control system, mainly including the following parts: 1. Introduction. Nowadays, drone technology is widely used, and the drone swarm system is regarded as an emerging technology attracting much attention. 2. Literature Review. A brief introduction to the current development status of drone swarm control systems, from swarm control theory to drone aerodynamic model analysis, systematically elaborates on the main research directions currently being studied. 3. Design of Drone Swarm Control System. Using Matlab to model and simulate the swarm control system, including swarm formation control, path planning, and collaborative decision-making. 4. Simulation Experiments and Result Analysis. Through Matlab simulation experiments, the performance of the designed control system in different scenarios was verified, and a detailed analysis of the experimental results was conducted. 5. Conclusion and Outlook. Summarizing the research results of this paper, future research directions and prospects for further in-depth research are proposed. Through this study of the drone swarm control system based on Matlab, theoretical support and practical application value are provided for the development of drone swarm technolog.

Key Words: Drone swarm control,Swarm formation control, Path planning,Collaborative decision-making ,Simulation experiment ,Result analysis ,Practical application value