首页|期刊导航|航空学报|基于无源滑模的无人机编队分布式控制

基于无源滑模的无人机编队分布式控制OA

Distributed control of UAVs formation based on passivity-based sliding mode method

中文摘要英文摘要

基于端口哈密顿系统理论和滑模控制方法,设计了一种用于无人机编队分布式控制的无源滑模控制方法.首先基于三自由度非线性无人机运动模型和一致性估计算法建立了分布式编队误差模型;其次基于端口哈密顿系统理论将无人机编队系统建模为端口哈密顿系统形式;接着,基于分布式编队误差模型设计了系统期望的哈密顿能量函数,通过能量整型技术在期望哈密顿能量函数中引入了滑模量,由此设计了无源滑模控制律,并对所设计的无源滑模控制方法进行了稳定性证明和鲁棒性分析;最后,对设计的无源滑模控制律进行了仿真验证.仿真结果表明,所设计的无源滑模控制律能够使集群中无人机状态收敛到滑模面上进而沿着滑模面收敛到期望状态,并且在性能和抗干扰方面具有一定的优势.

Based on the port-Hamiltonian system theory and sliding mode control method,a passivity-based sliding mode method for distributed control of Unmanned Aerial Vehicles(UAVs)formation is designed.Firstly,a distributed formation error model was established based on the 3-DOF nonlinear UAVs formation system model and consensus estimation algorithm.Secondly,based on the port-Hamiltonian system theory,the UAVs formation system was mod-eled as a port-Hamiltonian system.Then,based on the distributed formation error model,the expected Hamiltonian energy function of the system is designed,and the sliding modulus is introduced into the expected Hamiltonian energy function through the energy integer technique,so that the passivity-based sliding mode control law is designed,and the stability proof and robustness analysis of the designed passivity-based sliding mode control method are carried out.Finally,the designed passivity-based sliding mode control law is simulated and verified.The simulation results show that the designed passivity-based sliding mode control law can make the state of the UAV in the swarm converge to the sliding mode surface and then converge along the sliding mode surface to the desired state,while exhibiting certain advantages in performance and disturbance rejection.

何孝龙;陈琪锋;郝文康

中南大学 自动化学院,长沙 410083中南大学 自动化学院,长沙 410083中南大学 自动化学院,长沙 410083

航空航天

端口哈密顿系统无源控制滑模控制无人机编队控制分布式控制

port-Hamiltonian systempassivity-based controlsliding mode controlUAVs formation controldistributed control

《航空学报》 2026 (z1)

67-80,14

国家自然科学基金(62073343)智控实验室开放基金(ICL-2023-0405) National Natural Science Foundation of China(62073343)Open Fund of Intelligent Control Laboratory(ICL-2023-0405)

10.7527/S1000-6893.2025.32965

评论