文献类型：期刊文献

英文题名：Distributed Event-Triggered Attitude Estimation Without Angular Velocity Measurements

作者：Li, Shanshan[1];Jin, Xin[1,2];Li, Yichun[1];Li, Fangfei[3];Werner, Herbert[4];Tang, Yang[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Fudan Univ, Res Inst Intelligent Complex Syst, Shanghai 200433, Peoples R China;[3]East China Univ Sci & Technol, Dept Math, Shanghai 200237, Peoples R China;[4]Hamburg Univ Technol, Inst Control Syst, Hamburg 21073, Germany

年份：2025

卷号：12

期号：3

起止页码：2392

外文期刊名：IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS

收录：;EI(收录号：20252118455087);WOS:【SCI-EXPANDED(收录号:WOS:001579032800014)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62233005, Grant U2441245, Grant 62403141, and Grant 62173142, in part by Shanghai Sailing Program under Grant 23YF1409600, and in part by the Program of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017.

语种：英文

外文关键词：Estimation; Vectors; Event detection; Angular velocity; Velocity measurement; Extraterrestrial measurements; Control systems; Clocks; Training; Smart manufacturing; Angular velocity estimation; cooperative attitude estimation; event triggered; multiple rigid body systems

摘要：In this article, a distributed event-triggered attitude estimation problem is considered for multiple rigid body systems on SO(3). The error in attitude estimation converges asymptotically to a common orientation among multiple rigid body systems, based on relative attitude measurements under undirected graphs. To eliminate the reliance on direct angular velocity measurements, a cascaded estimation scheme is proposed, employing indirect angular velocity estimation through a single vector measurement that is readily accessible using accelerometers or magnetometers. An event-triggered condition, grounded in clock variables, is proposed to reduce the communication and computation requirements associated with the attitude estimation. Subsequently, a rigorous convergence analysis of the attitude estimation errors is conducted, relying upon a stability criterion of invariant sets for cascade-connected systems. Furthermore, a self-triggered condition is developed to overcome the challenge of continuous monitoring throughout the event detection process. Ultimately, the efficacy of the proposed framework is validated through a numerical simulation encompassing multiple small satellites.