中国舰船研究2026，Vol.21Issue(2)：89-100,12.DOI:10.19693/j.issn.1673-3185.04586
事件驱动量测-通信联合框架下基于LMPC的多AUV编队控制方法
Event-driven metrology-communication joint framework based on LMPC multi-AUV formation control
摘要
Abstract
[Objective]To address the challenges in multi-AUV formation maneuvering,such as limited state perception and transmission capabilities,acoustic communication delays,data loss,and reduced observ-ability due to the lack of position information exchange,this study proposes an event-triggered metrology-communication unified framework with a Lyapunov-based model predictive formation control method(ETMCU-LMPC).The proposed approach aims to enhance formation stability and tracking accuracy.[Method]First,by integrating the formation communication topology with system states,an event-trig-gered mechanism based on state observation is established.This mechanism leverages relative measurements among AUVs to mitigate delays and data loss caused by acoustic communication failures,while improving system observability in the absence of position information exchange.Second,a distributed model predictive controller based on Lyapunov theory is designed.The controller employs backstepping to construct contrac-tive constraints,ensuring recursive feasibility,and incorporates adaptive Kalman filtering(AKF)to compen-sate for measurement noise,thereby guaranteeing closed-loop stability.[Results]Simulation results of the formation control for five AUVs(1 leader and 4 followers)show that,compared with the traditional LMPC,the proposed ETMCU-LMPC method reduces the convergence time from 8 s to 6 s,the maximum error from 1.12 m to 0.36 m,and the steady-state error from 0.57 m to 0.06 m.Additionally,the control input exhibits greater stability.[Conclusion]The proposed method can effectively cope with communication anomalies,improve the relia-bility of multi-AUV formations under scenarios with limited state perception and transmission,and thus pos-sesses practical engineering significance.关键词
自主水下航行器/编队控制/路径跟踪/轨迹跟踪/事件驱动量测-通信联合框架/模型预测控制/Lyapunov理论/自适应卡尔曼滤波Key words
autonomous underwater vehicles/formation control/path following/trajectory tracking/event-triggered metrology-communication unified framework/model predictive control/Lyapunov methods/adaptive Kalman filter(AKF)分类
交通工程引用本文复制引用
徐博,左一兵,王朝阳,马雪飞,朱海峰..事件驱动量测-通信联合框架下基于LMPC的多AUV编队控制方法[J].中国舰船研究,2026,21(2):89-100,12.基金项目
微系统技术国防科技重点实验室开放课题(6142804230106) （6142804230106）
