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

Author:

Shen Jian1ORCID,Zhu Qingyu2,Wang Xiaoguang3,Chen Pengyun1ORCID

Affiliation:

1. College of Mechatronics Engineering, North University of China, Tai Yuan 030051, China

2. AVIC China Aero-Polytechnology Establishment, Beijing 100028, China

3. Department of Smart Ammunition, Norinco Group Aviation Ammunition Research Institute, Harbin 150030, China

Abstract

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.

Funder

North University of China

Publisher

Hindawi Limited

Subject

Aerospace Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leader–follower UAVs formation control based on a deep Q-network collaborative framework;Scientific Reports;2024-02-26

2. Design of intelligent transportation verification platform based on hardware in the loop simulation technology;2022 8th International Conference on Hydraulic and Civil Engineering: Deep Space Intelligent Development and Utilization Forum (ICHCE);2022-11-25

3. A Deep Q -Network-Based Collaborative Control Research for Smart Ammunition Formation;International Journal of Aerospace Engineering;2022-06-22

4. Intermediate Observer based Fault-Tolerant Control for Fuzzy Stochastic Systems with Actuator Fault;2022 5th International Symposium on Autonomous Systems (ISAS);2022-04-08

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