Distributed cooperative control for deployment and task allocation of unmanned aerial vehicle networks

2013 ◽  
Vol 7 (11) ◽  
pp. 1574-1582 ◽  
Author(s):  
Jinwen Hu ◽  
Zhao Xu
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Task Allocation ◽  
Cooperative Control ◽  
Vehicle Networks ◽  
Aerial Vehicle ◽  
Distributed Cooperative Control ◽  
And Task

Distributed task allocation with critical tasks and limited capacity

Robotica ◽  
2021 ◽  
pp. 1-25
Author(s):  
An Zhang ◽  
Mi Yang ◽  
Bi Wenhao ◽  
Fei Gao
Keyword(s):  
Numerical Simulations ◽  
Unmanned Aerial Vehicle ◽  
Task Allocation ◽  
Network Capacity ◽  
Allocation Problem ◽  
Limited Capacity ◽  
Performance Impact ◽  
Task List ◽  
Aerial Vehicle ◽  
Traditional Performance

Abstract This paper considers the task allocation problem under the requirement that the assignments of some critical tasks must be maximized when the network capacity cannot accommodate all tasks due to the limited capacity for each unmanned aerial vehicle (UAV). To solve this problem, this paper proposes an extended performance impact algorithm with critical tasks (EPIAC) based on the traditional performance impact algorithm. A novel task list resizing phase is developed in EPIAC to deal with the constraint on the limited capacity of each UAV and maximize the assignments of critical tasks. Numerical simulations demonstrate the outstanding performance of EPIAC compared with other algorithms.

Secure connectivity analysis in unmanned aerial vehicle networks

2018 ◽  
Vol 19 (3) ◽  
pp. 409-422 ◽  
Author(s):  
Xin Yuan ◽  
Zhi-yong Feng ◽  
Wen-jun Xu ◽  
Zhi-qing Wei ◽  
Ren-ping Liu
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Connectivity Analysis ◽  
Vehicle Networks ◽  
Aerial Vehicle ◽  
Secure Connectivity

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

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jian Shen ◽  
Qingyu Zhu ◽  
Xiaoguang Wang ◽  
Pengyun Chen
Keyword(s):  
Dynamic Analysis ◽  
Unmanned Aerial Vehicle ◽  
Cooperative Control ◽  
Health Management ◽  
Fault Tolerant ◽  
Design Method ◽  
Observer Design ◽  
Fault Estimation ◽  
Proportional Navigation ◽  
Aerial Vehicle

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.

scholarly journals Zigbee Protocol-Based Communication Network for Multi-Unmanned Aerial Vehicle Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 57762-57771 ◽  
Author(s):  
Diego S. Pereira ◽  
Mateus Rodrigues De Morais ◽  
Luis B. P. Nascimento ◽  
Pablo J. Alsina ◽  
Vitor. G. Santos ◽  
...  
Keyword(s):  
Communication Network ◽  
Unmanned Aerial Vehicle ◽  
Zigbee Protocol ◽  
Vehicle Networks ◽  
Aerial Vehicle

Cellular Cooperative Unmanned Aerial Vehicle Networks With Sense-and-Send Protocol

2019 ◽  
Vol 6 (2) ◽  
pp. 1754-1767 ◽  
Author(s):  
Shuhang Zhang ◽  
Hongliang Zhang ◽  
Boya Di ◽  
Lingyang Song
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vehicle Networks ◽  
Aerial Vehicle
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