Typical Fault Estimation and Dynamic Analysis of a Leader-Follower Unmanned Aerial Vehicle Formation

被引:5
|
作者
Shen, Jian [1 ]
Zhu, Qingyu [2 ]
Wang, Xiaoguang [3 ]
Chen, Pengyun [1 ]
机构
[1] North Univ China, Coll Mechatron Engn, Taiyuan 030051, Peoples R China
[2] AVIC China Aeropolytechnol Estab, Beijing 100028, Peoples R China
[3] Aviat Ammunit Res Inst, Norinco Grp, Dept Smart Ammunit, Harbin 150030, Peoples R China
基金
中国国家自然科学基金;
关键词
ACTUATOR FAULT; COOPERATIVE CONTROL; UAV; SYSTEMS; SENSOR;
D O I
10.1155/2021/6656422
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper, the typical fault estimation and dynamic analysis are presented for a leader-follower unmanned aerial vehicle (UAV) formation system with external disturbances. Firstly, a dynamic model with proportional navigation guidance (PNG) control of the UAV formation is built. Then, an intermediate observer design method is adopted to estimate the system states and faults simultaneously. Based on the graph theory, the topology relationship between each node in the UAV formation has been also analyzed. The estimator and the system error have been created. Moreover, the typical faults, including the components failure, airframe damage, communication failure, formation collision, and environmental impact, are also discussed for the UAV system. Based on the fault-tolerant strategy, five familiar fault models are proposed from the perspectives of fault estimation, dynamical disturbances, and formation cooperative control. With an analysis of the results of states and faults estimation, the actuator faults can be estimated precisely with component failure and wind disturbances. Furthermore, the basic dynamic characteristics of the UAV formation are discussed. Besides, a comparison of two cases related to the wind disturbance has been accomplished to verify the performance of the fault estimator and controller. The results illustrate the credibility and applicability of the fault estimation and dynamic control strategies for the UAV system which are proposed in this paper. Finally, an extension about the UAV formation prognostic health management system is expounded from the point of view of the fault-tolerant control, dynamic modeling, and multifault estimation.
引用
收藏
页数:16
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