一种用于真实城市场景下的无人机编队优化控制方法

By introducing formation holding force and neighbor coordination force into UAV formation control, and combining flight dynamic weight adjustment and three-dimensional obstacle avoidance strategy, the problems of loose formation and path oscillation of UAV formation in complex urban environments are solved, and stable and safe formation control is achieved.

CN122086104BActive Publication Date: 2026-07-17SHANDONG JIAOTONG UNIV +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG JIAOTONG UNIV
Filing Date
2026-04-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing drone formation control methods are prone to disrupting formation structure in complex urban environments, leading to loose formations or individual drones becoming separated, as well as path oscillations and increased energy consumption, making it difficult to meet the needs of practical engineering applications.

Method used

A formation control mechanism integrating formation maintenance and neighbor coordination is constructed, and a flight dynamic weight adjustment mechanism and a three-dimensional obstacle avoidance and altitude constraint strategy are introduced. A leader-follower formation structure is adopted, and by optimizing the potential field and iteratively updating the UAV status, the stable maintenance and safe obstacle avoidance of UAV formation in complex urban environments are achieved.

Benefits of technology

It improves the stability, safety, and smoothness of drone formations in complex urban environments, enhances the adaptability and engineering versatility of formation control, and ensures safe obstacle avoidance and efficient flight of formations in real urban scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明涉及无人机协同控制技术领域,公开了一种用于真实城市场景下的无人机编队优化控制方法,包括以下步骤:S1:三维运行场景建模,构建城市低空无人机飞行场景;S2:无人机编队阵形建模,构建基于领导者‑跟随者的无人机编队阵形,采用领导者–跟随者编队结构,领导者负责目标引导,跟随者根据预设的相对偏移保持编队阵形,构建正五边形、菱形及V字型三种编队阵形;S3:无人机编队控制优化,构建基于优化策略的无人机编队控制方法。本发明通过构建融合队形保持力与邻居协调力的编队控制机制,并引入飞行动态权重调节机制及三维避障与高度约束策略,使无人机编队在复杂城市环境中能够实现稳定编队保持、安全避障以及平滑高效飞行。
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